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ORCIDShie Mannor
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- affiliation (PhD 2002): Technion - Israel Institute of Technology, Department of Electrical Engineering, Haifa, Israel
- affiliation: Nvidia Research, Tel Aviv-Yafo, Israel
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2020 – today
- 2025
[j82]Leena Heistrene
, Juri Belikov, Dmitry Baimel, Liran Katzir, Ram Machlev, Kfir Levy, Shie Mannor, Yoash Levron:
An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach. IEEE Trans. Artif. Intell. 6(1): 159-168 (2025)- 2024
- [c264]Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. AAAI 2024: 21090-21098 - [c263]Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. Tiny Papers @ ICLR 2024 - [c262]Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor:
Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR 2024 - [c261]Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor:
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR 2024 - [c260]Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR 2024 - [c259]David Valensi, Esther Derman, Shie Mannor, Gal Dalal:
Tree Search-Based Policy Optimization under Stochastic Execution Delay. ICLR 2024 - [c258]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. ICML 2024 - [c257]Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant:
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. ICML 2024 - [c256]Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor:
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. ICML 2024 - [c255]Mark Kozdoba, Binyamin Perets, Shie Mannor:
Sobolev Space Regularised Pre Density Models. ICML 2024 - [c254]Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor:
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. ICML 2024 - [c253]Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis:
Prospective Side Information for Latent MDPs. ICML 2024 - [c252]Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni:
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. NeurIPS 2024 - [i212]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. CoRR abs/2402.05643 (2024) - [i211]Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor:
SQT - std Q-target. CoRR abs/2402.05950 (2024) - [i210]Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant:
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR abs/2402.10342 (2024) - [i209]Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y. Levy, R. Srikant, Shie Mannor:
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes. CoRR abs/2403.06806 (2024) - [i208]David Valensi, Esther Derman, Shie Mannor, Gal Dalal:
Tree Search-Based Policy Optimization under Stochastic Execution Delay. CoRR abs/2404.05440 (2024) - [i207]Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor:
On Bits and Bandits: Quantifying the Regret-Information Trade-off. CoRR abs/2405.16581 (2024) - [i206]Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni:
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. CoRR abs/2406.01389 (2024) - [i205]Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik:
PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR abs/2406.18237 (2024) - [i204]Guy Lutsker, Gal Sapir, Anastasia Godneva, Smadar Shilo, Jerry R. Greenfield, Dorit Samocha-Bonet, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal:
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis. CoRR abs/2408.11876 (2024) - [i203]Mark Kozdoba, Binyamin Perets, Shie Mannor:
Efficient Fairness-Performance Pareto Front Computation. CoRR abs/2409.17643 (2024) - [i202]Emilie Jong, Samuel Chevalier, Spyros Chatzivasileiadis, Shie Mannor:
Dual Pricing to Prioritize Renewable Energy and Consumer Preferences in Electricity Markets. CoRR abs/2409.18766 (2024) - [i201]Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor:
Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms. CoRR abs/2410.08868 (2024) - [i200]Ryan Park, Darren J. Hsu, C. Brian Roland, Maria Korshunova, Chen Tessler, Shie Mannor, Olivia Viessmann, Bruno Trentini:
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization. CoRR abs/2410.19471 (2024) - [i199]Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Péter Karkus:
Learning Multiple Initial Solutions to Optimization Problems. CoRR abs/2411.02158 (2024) - 2023
- [j81]Asaf B. Cassel, Shie Mannor, Assaf Zeevi:
A General Framework for Bandit Problems Beyond Cumulative Objectives. Math. Oper. Res. 48(4): 2196-2232 (2023) - [j80]Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters:
Continuous-Time Fitted Value Iteration for Robust Policies. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5534-5548 (2023) - [c251]Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. AAAI 2023: 9606-9613 - [c250]Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler:
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS 2023: 2430-2432 - [c249]Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid 2023: 331-343 - [c248]Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik:
Learning to Initiate and Reason in Event-Driven Cascading Processes. ICML 2023: 1218-1243 - [c247]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML 2023: 18057-18082 - [c246]Ofir Nabati, Guy Tennenholtz, Shie Mannor:
Representation-Driven Reinforcement Learning. ICML 2023: 25588-25603 - [c245]Binyamin Perets, Mark Kozdoba, Shie Mannor:
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. ICML 2023: 27642-27667 - [c244]Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor:
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML 2023: 36694-36713 - [c243]Yaosheng Fu, Evgeny Bolotin, Aamer Jaleel, Gal Dalal, Shie Mannor, Jacob Subag, Noam Korem, Michael Behar, David W. Nellans:
AutoScratch: ML-Optimized Cache Management for Inference-Oriented GPUs. MLSys 2023 - [c242]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Individualized Dosing Dynamics via Neural Eigen Decomposition. NeurIPS 2023 - [c241]Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom:
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. NeurIPS 2023 - [c240]Ido Greenberg, Netanel Yannay, Shie Mannor:
Optimization or Architecture: How to Hack Kalman Filtering. NeurIPS 2023 - [c239]Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor:
Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS 2023 - [c238]Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng:
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) 2023: 37:1-37:9 - [i198]Shie Mannor, Aviv Tamar:
Towards Deployable RL - What's Broken with RL Research and a Potential Fix. CoRR abs/2301.01320 (2023) - [i197]Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom:
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. CoRR abs/2301.11147 (2023) - [i196]Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik:
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR abs/2301.13236 (2023) - [i195]Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor:
Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13589 (2023) - [i194]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13642 (2023) - [i193]Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor:
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. CoRR abs/2303.06654 (2023) - [i192]Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng:
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR abs/2305.02195 (2023) - [i191]Ofir Nabati, Guy Tennenholtz, Shie Mannor:
Representation-Driven Reinforcement Learning. CoRR abs/2305.19922 (2023) - [i190]Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor:
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR abs/2306.05859 (2023) - [i189]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR abs/2306.14020 (2023) - [i188]Mark Kozdoba, Binyamin Perets, Shie Mannor:
Implicitly Normalized Explicitly Regularized Density Estimation. CoRR abs/2307.13763 (2023) - [i187]Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR abs/2309.01107 (2023) - [i186]Ido Greenberg, Netanel Yannay, Shie Mannor:
Optimization or Architecture: How to Hack Kalman Filtering. CoRR abs/2310.00675 (2023) - [i185]Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis:
Prospective Side Information for Latent MDPs. CoRR abs/2310.07596 (2023) - 2022
- [j79]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. 49(2): 43-46 (2022) - [c237]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. AAAI 2022: 8240-8248 - [c236]Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. AAAI 2022: 9278-9285 - [c235]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. AAAI 2022: 12615-12621 - [c234]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL 2022: 2170-2180 - [c233]Shie Mannor:
Reinforcement Learning for Extended Intelligence. ICINCO 2022: 5 - [c232]Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit:
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. ICLR 2022 - [c231]Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro:
Analysis of Stochastic Processes through Replay Buffers. ICML 2022: 5039-5060 - [c230]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML 2022: 11772-11789 - [c229]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Optimizing Tensor Network Contraction Using Reinforcement Learning. ICML 2022: 15278-15292 - [c228]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c227]Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Actor-Critic based Improper Reinforcement Learning. ICML 2022: 25867-25919 - [c226]Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Efficient Risk-Averse Reinforcement Learning. NeurIPS 2022 - [c225]Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer:
Finite Sample Analysis Of Dynamic Regression Parameter Learning. NeurIPS 2022 - [c224]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Tractable Optimality in Episodic Latent MABs. NeurIPS 2022 - [c223]Guy Tennenholtz, Shie Mannor:
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning. NeurIPS 2022 - [c222]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. NeurIPS 2022 - [i184]Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. CoRR abs/2201.12403 (2022) - [i183]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR abs/2201.12700 (2022) - [i182]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i181]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. CoRR abs/2202.00117 (2022) - [i180]Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik:
Learning to reason about and to act on physical cascading events. CoRR abs/2202.01108 (2022) - [i179]Binyamin Perets, Mark Kozdoba, Shie Mannor:
Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. CoRR abs/2203.06527 (2022) - [i178]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Optimizing Tensor Network Contraction Using Reinforcement Learning. CoRR abs/2204.09052 (2022) - [i177]Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Efficient Risk-Averse Reinforcement Learning. CoRR abs/2205.05138 (2022) - [i176]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR abs/2205.14327 (2022) - [i175]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. CoRR abs/2205.15376 (2022) - [i174]Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro:
Analysis of Stochastic Processes through Replay Buffers. CoRR abs/2206.12848 (2022) - [i173]Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR abs/2207.02295 (2022) - [i172]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Actor-Critic based Improper Reinforcement Learning. CoRR abs/2207.09090 (2022) - [i171]Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik:
SoftTreeMax: Policy Gradient with Tree Search. CoRR abs/2209.13966 (2022) - [i170]Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. CoRR abs/2210.00991 (2022) - [i169]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR abs/2210.02594 (2022) - [i168]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Tractable Optimality in Episodic Latent MABs. CoRR abs/2210.03528 (2022) - [i167]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR abs/2212.06437 (2022) - 2021
- [j78]Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy:
Inverse reinforcement learning in contextual MDPs. Mach. Learn. 110(9): 2295-2334 (2021) - [c221]Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. AAAI 2021: 7288-7295 - [c220]Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. AAAI 2021: 8950-8957 - [c219]Avi Mohan, Shie Mannor, Arman C. Kizilkale:
On the Volatility of Optimal Control Policies of a Class of Linear Quadratic Regulators. ACC 2021: 4533-4540 - [c218]Roi Pony, Itay Naeh, Shie Mannor:
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. CVPR 2021: 515-524 - [c217]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR 2021 - [c216]Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar:
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR 2021 - [c215]Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. ICML 2021: 2937-2947 - [c214]Ido Greenberg, Shie Mannor:
Detecting Rewards Deterioration in Episodic Reinforcement Learning. ICML 2021: 3842-3853 - [c213]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. ICML 2021: 7224-7234 - [c212]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML 2021: 7565-7577 - [c211]Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. ICML 2021: 7905-7915 - [c210]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. NeurIPS 2021: 2253-2264 - [c209]Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. NeurIPS 2021: 5518-5530 - [c208]Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor:
Sim and Real: Better Together. NeurIPS 2021: 6868-6880 - [c207]Esther Derman, Matthieu Geist, Shie Mannor:
Twice regularized MDPs and the equivalence between robustness and regularization. NeurIPS 2021: 22274-22287 - [c206]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS 2021: 24523-24534 - [c205]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. Robotics: Science and Systems 2021 - [c204]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action redundancy in reinforcement learning. UAI 2021: 376-385 - [c203]Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni:
Bandits with partially observable confounded data. UAI 2021: 430-439 - [c202]Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik:
Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI 2021: 504-514 - [i166]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR abs/2101.11992 (2021) - [i165]Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. CoRR abs/2102.03400 (2021) - [i164]Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. CoRR abs/2102.03799 (2021) - [i163]Mark Kozdoba, Shie Mannor:
Dimension Free Generalization Bounds for Non Linear Metric Learning. CoRR abs/2102.03802 (2021) - [i162]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR abs/2102.04939 (2021) - [i161]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. CoRR abs/2102.06924 (2021) - [i160]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Improper Learning with Gradient-based Policy Optimization. CoRR abs/2102.08201 (2021) - [i159]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. CoRR abs/2102.09337 (2021) - [i158]Guy Tennenholtz, Nir Baram, Shie Mannor:
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. CoRR abs/2102.11327 (2021) - [i157]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action Redundancy in Reinforcement Learning. CoRR abs/2102.11329 (2021) - [i156]Nir Baram, Guy Tennenholtz, Shie Mannor:
Maximum Entropy Reinforcement Learning with Mixture Policies. CoRR abs/2103.10176 (2021) - [i155]Ido Greenberg, Shie Mannor, Netanel Yannay:
Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal. CoRR abs/2104.02372 (2021) - [i154]Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR abs/2105.00210 (2021) - [i153]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. CoRR abs/2105.04682 (2021) - [i152]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. CoRR abs/2105.12189 (2021) - [i151]Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR abs/2107.01715 (2021) - [i150]Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2109.10632 (2021) - [i149]Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor:
Sim and Real: Better Together. CoRR abs/2110.00445 (2021) - [i148]Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters:
Continuous-Time Fitted Value Iteration for Robust Policies. CoRR abs/2110.01954 (2021) - [i147]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. CoRR abs/2110.03743 (2021) - [i146]Nadav Merlis, Yonathan Efroni, Shie Mannor:
Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits. CoRR abs/2110.05724 (2021) - [i145]Esther Derman, Matthieu Geist, Shie Mannor:
Twice regularized MDPs and the equivalence between robustness and regularization. CoRR abs/2110.06267 (2021) - [i144]Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit:
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR abs/2110.06539 (2021) - 2020
- [c201]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI 2020: 5668-5675 - [c200]Guy Tennenholtz, Uri Shalit, Shie Mannor:
Off-Policy Evaluation in Partially Observable Environments. AAAI 2020: 10276-10283 - [c199]Xavier Fontaine, Shie Mannor, Vianney Perchet:
An adaptive stochastic optimization algorithm for resource allocation. ALT 2020: 319-363 - [c198]Nadav Merlis, Shie Mannor:
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. COLT 2020: 2830-2857 - [c197]Dan Fisher, Mark Kozdoba, Shie Mannor:
Topic Modeling via Full Dependence Mixtures. ICML 2020: 3188-3198 - [c196]Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. ICML 2020: 8604-8613 - [c195]Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor:
Online Planning with Lookahead Policies. NeurIPS 2020 - [c194]Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor:
Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images. WACV 2020: 2236-2245 - [i143]Chen Tessler, Shie Mannor:
Maximizing the Total Reward via Reward Tweaking. CoRR abs/2002.03327 (2020) - [i142]Itay Naeh, Roi Pony, Shie Mannor:
Patternless Adversarial Attacks on Video Recognition Networks. CoRR abs/2002.05123 (2020) - [i141]Nadav Merlis, Shie Mannor:
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. CoRR abs/2002.05392 (2020) - [i140]Avinash Mohan, Shie Mannor, Arman C. Kizilkale:
Price Volatility in Electricity Markets: A Stochastic Control Perspective. CoRR abs/2002.06808 (2020) - [i139]Shirli Di-Castro Shashua, Shie Mannor:
Kalman meets Bellman: Improving Policy Evaluation through Value Tracking. CoRR abs/2002.07171 (2020) - [i138]Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. CoRR abs/2002.08243 (2020) - [i137]Daniel Teitelman, Itay Naeh, Shie Mannor:
Stealing Black-Box Functionality Using The Deep Neural Tree Architecture. CoRR abs/2002.09864 (2020) - [i136]Yonathan Efroni, Shie Mannor, Matteo Pirotta:
Exploration-Exploitation in Constrained MDPs. CoRR abs/2003.02189 (2020) - [i135]Esther Derman, Shie Mannor:
Distributional Robustness and Regularization in Reinforcement Learning. CoRR abs/2003.02894 (2020) - [i134]Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni:
Bandits with Partially Observable Offline Data. CoRR abs/2006.06731 (2020) - [i133]Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar:
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR abs/2007.07298 (2020) - [i132]Asaf B. Cassel, Shie Mannor, Guy Tennenholtz:
The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks. CoRR abs/2007.13232 (2020) - [i131]Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. CoRR abs/2008.03959 (2020) - [i130]Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. CoRR abs/2008.06036 (2020) - [i129]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. CoRR abs/2010.05313 (2020) - [i128]Ido Greenberg, Shie Mannor:
Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering. CoRR abs/2010.11660 (2020) - [i127]Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu:
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR abs/2012.04210 (2020)
2010 – 2019
- 2019
- [j77]Orly Avner, Shie Mannor:
Multi-User Communication Networks: A Coordinated Multi-Armed Bandit Approach. IEEE/ACM Trans. Netw. 27(6): 2192-2207 (2019) - [c193]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI 2019: 3494-3501 - [c192]Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. AAAI 2019: 4098-4105 - [c191]Nadav Merlis, Shie Mannor:
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. COLT 2019: 2465-2489 - [c190]Chen Tessler, Daniel J. Mankowitz, Shie Mannor:
Reward Constrained Policy Optimization. ICLR (Poster) 2019 - [c189]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. ICML 2019: 5251-5260 - [c188]Lior Shani, Yonathan Efroni, Shie Mannor:
Exploration Conscious Reinforcement Learning Revisited. ICML 2019: 5680-5689 - [c187]Guy Tennenholtz, Shie Mannor:
The Natural Language of Actions. ICML 2019: 6196-6205 - [c186]Chen Tessler, Yonathan Efroni, Shie Mannor:
Action Robust Reinforcement Learning and Applications in Continuous Control. ICML 2019: 6215-6224 - [c185]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS 2019: 1182-1191 - [c184]Chen Tessler, Guy Tennenholtz, Shie Mannor:
Distributional Policy Optimization: An Alternative Approach for Continuous Control. NeurIPS 2019: 1350-1360 - [c183]Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor:
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. NeurIPS 2019: 12203-12213 - [c182]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
A Bayesian Approach to Robust Reinforcement Learning. UAI 2019: 648-658 - [i126]Shirli Di-Castro Shashua, Shie Mannor:
Trust Region Value Optimization using Kalman Filtering. CoRR abs/1901.07860 (2019) - [i125]Tom Zahavy, Shie Mannor:
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching. CoRR abs/1901.08612 (2019) - [i124]Chen Tessler, Yonathan Efroni, Shie Mannor:
Action Robust Reinforcement Learning and Applications in Continuous Control. CoRR abs/1901.09184 (2019) - [i123]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR abs/1901.09326 (2019) - [i122]Guy Tennenholtz, Shie Mannor:
The Natural Language of Actions. CoRR abs/1902.01119 (2019) - [i121]Xavier Fontaine, Shie Mannor, Vianney Perchet:
A Problem-Adaptive Algorithm for Resource Allocation. CoRR abs/1902.04376 (2019) - [i120]Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor:
Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images. CoRR abs/1905.02234 (2019) - [i119]Nadav Merlis, Shie Mannor:
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. CoRR abs/1905.03125 (2019) - [i118]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
A Bayesian Approach to Robust Reinforcement Learning. CoRR abs/1905.08188 (2019) - [i117]Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor:
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. CoRR abs/1905.09700 (2019) - [i116]Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor:
Inverse Reinforcement Learning in Contextual MDPs. CoRR abs/1905.09710 (2019) - [i115]Chen Tessler, Guy Tennenholtz, Shie Mannor:
Distributional Policy Optimization: An Alternative Approach for Continuous Control. CoRR abs/1905.09855 (2019) - [i114]Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor:
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. CoRR abs/1905.11527 (2019) - [i113]Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer:
Variance Estimation For Online Regression via Spectrum Thresholding. CoRR abs/1906.05591 (2019) - [i112]Dan Fisher, Mark Kozdoba, Shie Mannor:
Topic Modeling via Full Dependence Mixtures. CoRR abs/1906.06181 (2019) - [i111]Dotan Di Castro, Joel Oren, Shie Mannor:
Practical Risk Measures in Reinforcement Learning. CoRR abs/1908.08379 (2019) - [i110]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR abs/1909.02769 (2019) - [i109]Guy Tennenholtz, Shie Mannor, Uri Shalit:
Off-Policy Evaluation in Partially Observable Environments. CoRR abs/1909.03739 (2019) - [i108]Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor:
Multi-Step Greedy and Approximate Real Time Dynamic Programming. CoRR abs/1909.04236 (2019) - [i107]Chen Tessler, Nadav Merlis, Shie Mannor:
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. CoRR abs/1910.01062 (2019) - [i106]Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor:
Natural Language State Representation for Reinforcement Learning. CoRR abs/1910.02789 (2019) - 2018
- [j76]Mark Kozdoba, Shie Mannor:
Source Estimation in Time Series and the Surprising Resilience of HMMs. IEEE Trans. Inf. Theory 64(8): 5555-5569 (2018) - [j75]Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. 5(4): 313-325 (2018) - [c181]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Finite Sample Analyses for TD(0) With Function Approximation. AAAI 2018: 6144-6160 - [c180]Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor:
Learning Robust Options. AAAI 2018: 6409-6416 - [c179]Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor:
Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. AAAI 2018: 7873-7881 - [c178]Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor:
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT 2018: 1199-1233 - [c177]Asaf B. Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. COLT 2018: 1295-1306 - [c176]Matan Haroush, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
Learning How Not to Act in Text-based Games. ICLR (Workshop) 2018 - [c175]Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor:
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) 2018 - [c174]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML 2018: 1386-1395 - [c173]Yahel David, Balázs Szörényi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin:
PAC Bandits with Risk Constraints. ISAIM 2018 - [c172]Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor:
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. NeurIPS 2018: 3566-3577 - [c171]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS 2018: 5244-5253 - [c170]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Soft-Robust Actor-Critic Policy-Gradient. UAI 2018: 208-218 - [i105]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR abs/1801.00500 (2018) - [i104]Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor:
Learning Robust Options. CoRR abs/1802.03236 (2018) - [i103]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR abs/1802.03654 (2018) - [i102]Guy Tennenholtz, Tom Zahavy, Shie Mannor:
Train on Validation: Squeezing the Data Lemon. CoRR abs/1802.05846 (2018) - [i101]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Soft-Robust Actor-Critic Policy-Gradient. CoRR abs/1803.04848 (2018) - [i100]Tom Zahavy, Alex Dikopoltsev, Oren Cohen, Shie Mannor, Mordechai Segev:
Deep Learning Reconstruction of Ultra-Short Pulses. CoRR abs/1803.06024 (2018) - [i99]Mark Kozdoba, Shie Mannor:
Interdependent Gibbs Samplers. CoRR abs/1804.03958 (2018) - [i98]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR abs/1805.07732 (2018) - [i97]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR abs/1805.07956 (2018) - [i96]Chen Tessler, Daniel J. Mankowitz, Shie Mannor:
Reward Constrained Policy Optimization. CoRR abs/1805.11074 (2018) - [i95]Asaf B. Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. CoRR abs/1806.01380 (2018) - [i94]Orly Avner, Shie Mannor:
Multi-user Communication Networks: A Coordinated Multi-armed Bandit Approach. CoRR abs/1808.04875 (2018) - [i93]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. CoRR abs/1809.01843 (2018) - [i92]Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor:
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. CoRR abs/1809.02121 (2018) - [i91]Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. CoRR abs/1809.05870 (2018) - [i90]Nir Baram, Shie Mannor:
Inspiration Learning through Preferences. CoRR abs/1809.05872 (2018) - [i89]Lior Shani, Yonathan Efroni, Shie Mannor:
Revisiting Exploration-Conscious Reinforcement Learning. CoRR abs/1812.05551 (2018) - [i88]Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer:
Multi Instance Learning For Unbalanced Data. CoRR abs/1812.07010 (2018) - 2017
- [j74]Eli A. Meirom, Shie Mannor, Ariel Orda:
Strategic Formation of Heterogeneous Networks. IEEE J. Sel. Areas Commun. 35(3): 751-763 (2017) - [j73]Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv:
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1811-1824 (2017) - [j72]Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir:
Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback. SIAM J. Comput. 46(6): 1785-1826 (2017) - [j71]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Sequential Decision Making With Coherent Risk. IEEE Trans. Autom. Control. 62(7): 3323-3338 (2017) - [c169]Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. AAAI 2017: 1553-1561 - [c168]Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda:
Proxy Voting for Better Outcomes. AAMAS 2017: 858-866 - [c167]Daniel Vainsencher, Shie Mannor, Huan Xu:
Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. COLT 2017: 1849-1881 - [c166]Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor:
End-to-End Differentiable Adversarial Imitation Learning. ICML 2017: 390-399 - [c165]Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor:
Multi-objective Bandits: Optimizing the Generalized Gini Index. ICML 2017: 625-634 - [c164]Assaf Hallak, Shie Mannor:
Consistent On-Line Off-Policy Evaluation. ICML 2017: 1372-1383 - [c163]Timothy A. Mann, Shie Mannor, Doina Precup:
Approximate Value Iteration with Temporally Extended Actions (Extended Abstract). IJCAI 2017: 5035-5039 - [c162]Raphaël Canyasse, Gal Dalal, Shie Mannor:
Supervised learning for optimal power flow as a real-time proxy. ISGT 2017: 1-5 - [c161]Nir Levine, Koby Crammer, Shie Mannor:
Rotting Bandits. NIPS 2017: 3074-3083 - [c160]Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Shallow Updates for Deep Reinforcement Learning. NIPS 2017: 3135-3145 - [c159]Balázs Szörényi, Snir Cohen, Shie Mannor:
Non-parametric Online AUC Maximization. ECML/PKDD (2) 2017: 575-590 - [c158]Vineet Abhishek, Shie Mannor:
A Nonparametric Sequential Test for Online Randomized Experiments. WWW (Companion Volume) 2017: 610-616 - [r2]Shie Mannor:
k-Armed Bandit. Encyclopedia of Machine Learning and Data Mining 2017: 687-690 - [i87]Jiashi Feng, Huan Xu, Shie Mannor:
Outlier Robust Online Learning. CoRR abs/1701.00251 (2017) - [i86]Assaf Hallak, Shie Mannor:
Consistent On-Line Off-Policy Evaluation. CoRR abs/1702.07121 (2017) - [i85]Nir Levine, Koby Crammer, Shie Mannor:
Rotting Bandits. CoRR abs/1702.07274 (2017) - [i84]Alon Cohen, Shie Mannor:
Online Learning with Many Experts. CoRR abs/1702.07870 (2017) - [i83]Shirli Di-Castro Shashua, Shie Mannor:
Deep Robust Kalman Filter. CoRR abs/1703.02310 (2017) - [i82]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR abs/1703.05376 (2017) - [i81]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR abs/1704.01161 (2017) - [i80]Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Shallow Updates for Deep Reinforcement Learning. CoRR abs/1705.07461 (2017) - [i79]Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor:
Multi-objective Bandits: Optimizing the Generalized Gini Index. CoRR abs/1706.04933 (2017) - [i78]Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Situationally Aware Options. CoRR abs/1711.07832 (2017) - [i77]Guy Tennenholtz, Constantine Caramanis, Shie Mannor:
The Stochastic Firefighter Problem. CoRR abs/1711.08237 (2017) - 2016
- [j70]Huan Xu, Constantine Caramanis, Shie Mannor:
Statistical Optimization in High Dimensions. Oper. Res. 64(4): 958-979 (2016) - [j69]Aviv Tamar, Dotan Di Castro, Shie Mannor:
Learning the Variance of the Reward-To-Go. J. Mach. Learn. Res. 17: 13:1-13:36 (2016) - [j68]Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor:
Regularized Policy Iteration with Nonparametric Function Spaces. J. Mach. Learn. Res. 17: 139:1-139:66 (2016) - [j67]Shiau Hong Lim, Huan Xu, Shie Mannor:
Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. 41(4): 1325-1353 (2016) - [j66]Shie Mannor, Ofir Mebel, Huan Xu:
Robust MDPs with k-Rectangular Uncertainty. Math. Oper. Res. 41(4): 1484-1509 (2016) - [c157]Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor:
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. AAAI 2016: 1631-1637 - [c156]Oren Anava, Shie Mannor:
Heteroscedastic Sequences: Beyond Gaussianity. ICML 2016: 755-763 - [c155]Tom Zahavy, Nir Ben-Zrihem, Shie Mannor:
Graying the black box: Understanding DQNs. ICML 2016: 1899-1908 - [c154]Gal Dalal, Elad Gilboa, Shie Mannor:
Hierarchical Decision Making In Electricity Grid Management. ICML 2016: 2197-2206 - [c153]Orly Avner, Shie Mannor:
Multi-user lax communications: A multi-armed bandit approach. INFOCOM 2016: 1-9 - [c152]Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Adaptive Skills Adaptive Partitions (ASAP). NIPS 2016: 1588-1596 - [c151]Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko:
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) 2016: 22-26 - [c150]Gal Dalal, Elad Gilboa, Shie Mannor:
Distributed scenario-based optimization for asset management in a hierarchical decision making environment. PSCC 2016: 1-9 - [i76]Gal Dalal, Elad Gilboa, Shie Mannor:
Distributed Scenario-Based Optimization for Asset Management in a Hierarchical Decision Making Environment. CoRR abs/1602.01958 (2016) - [i75]Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor:
Ensemble Robustness of Deep Learning Algorithms. CoRR abs/1602.02389 (2016) - [i74]Tom Zahavy, Nir Ben-Zrihem, Shie Mannor:
Graying the black box: Understanding DQNs. CoRR abs/1602.02658 (2016) - [i73]Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Iterative Hierarchical Optimization for Misspecified Problems (IHOMP). CoRR abs/1602.03348 (2016) - [i72]Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Adaptive Skills, Adaptive Partitions (ASAP). CoRR abs/1602.03351 (2016) - [i71]Gal Dalal, Elad Gilboa, Shie Mannor:
Hierarchical Decision Making In Electricity Grid Management. CoRR abs/1603.01840 (2016) - [i70]Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. CoRR abs/1604.07255 (2016) - [i69]Eli A. Meirom, Shie Mannor, Ariel Orda:
Strategic Formation of Heterogeneous Networks. CoRR abs/1604.08179 (2016) - [i68]Mark Kozdoba, Shie Mannor:
Clustering Time Series and the Surprising Robustness of HMMs. CoRR abs/1605.02531 (2016) - [i67]Irit Hochberg, Guy Feraru, Mark Kozdoba, Shie Mannor, Moshe Tennenholtz, Elad Yom-Tov:
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients. CoRR abs/1605.04070 (2016) - [i66]Oran Richman, Shie Mannor:
Bending the Curve: Improving the ROC Curve Through Error Redistribution. CoRR abs/1605.06652 (2016) - [i65]Nir Baram, Tom Zahavy, Shie Mannor:
Deep Reinforcement Learning Discovers Internal Models. CoRR abs/1606.05174 (2016) - [i64]Nir Ben-Zrihem, Tom Zahavy, Shie Mannor:
Visualizing Dynamics: from t-SNE to SEMI-MDPs. CoRR abs/1606.07112 (2016) - [i63]Oran Richman, Shie Mannor:
How to Allocate Resources For Features Acquisition? CoRR abs/1607.02763 (2016) - [i62]Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar:
Bayesian Reinforcement Learning: A Survey. CoRR abs/1609.04436 (2016) - [i61]Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Situational Awareness by Risk-Conscious Skills. CoRR abs/1610.02847 (2016) - [i60]Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda:
Proxy Voting for Better Outcomes. CoRR abs/1611.08308 (2016) - [i59]Tom Zahavy, Alessandro Magnani, Abhinandan Krishnan, Shie Mannor:
Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce. CoRR abs/1611.09534 (2016) - [i58]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Unit Commitment using Nearest Neighbor as a Short-Term Proxy. CoRR abs/1611.10215 (2016) - [i57]Nir Baram, Oron Anschel, Shie Mannor:
Model-based Adversarial Imitation Learning. CoRR abs/1612.02179 (2016) - [i56]Raphaël Canyasse, Gal Dalal, Shie Mannor:
Supervised Learning for Optimal Power Flow as a Real-Time Proxy. CoRR abs/1612.06623 (2016) - [i55]Timothy A. Mann, Hugo Penedones, Shie Mannor, Todd Hester:
Adaptive Lambda Least-Squares Temporal Difference Learning. CoRR abs/1612.09465 (2016) - 2015
- [j65]Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar:
Bayesian Reinforcement Learning: A Survey. Found. Trends Mach. Learn. 8(5-6): 359-483 (2015) - [j64]Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor:
Oracle-Based Robust Optimization via Online Learning. Oper. Res. 63(3): 628-638 (2015) - [j63]Timothy A. Mann, Shie Mannor, Doina Precup:
Approximate Value Iteration with Temporally Extended Actions. J. Artif. Intell. Res. 53: 375-438 (2015) - [j62]Maayan Harel, Shie Mannor:
The Perturbed Variation. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2119-2130 (2015) - [j61]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory 61(6): 3100-3120 (2015) - [c149]Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor:
Learning When to Switch between Skills in a High Dimensional Domain. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c148]Aviv Tamar, Yonatan Glassner, Shie Mannor:
Optimizing the CVaR via Sampling. AAAI 2015: 2993-2999 - [c147]François Schnitzler, Jia Yuan Yu, Shie Mannor:
Sensor Selection for Crowdsensing Dynamical Systems. AISTATS 2015 - [c146]Aditya Gopalan, Shie Mannor:
Thompson Sampling for Learning Parameterized Markov Decision Processes. COLT 2015: 861-898 - [c145]Oran Richman, Shie Mannor:
Dynamic Sensing: Better Classification under Acquisition Constraints. ICML 2015: 267-275 - [c144]Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor:
Off-policy Model-based Learning under Unknown Factored Dynamics. ICML 2015: 711-719 - [c143]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Local detection of infections in heterogeneous networks. INFOCOM 2015: 1517-1525 - [c142]Eli A. Meirom, Shie Mannor, Ariel Orda:
Formation games of reliable networks. INFOCOM 2015: 1760-1768 - [c141]Leeor Peled, Shie Mannor, Uri C. Weiser, Yoav Etsion:
Semantic locality and context-based prefetching using reinforcement learning. ISCA 2015: 285-297 - [c140]Oren Anava, Elad Hazan, Shie Mannor:
Online Learning for Adversaries with Memory: Price of Past Mistakes. NIPS 2015: 784-792 - [c139]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Policy Gradient for Coherent Risk Measures. NIPS 2015: 1468-1476 - [c138]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. NIPS 2015: 1522-1530 - [c137]Mark Kozdoba, Shie Mannor:
Community Detection via Measure Space Embedding. NIPS 2015: 2890-2898 - [c136]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda:
Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS 2015: 441-442 - [e2]Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik, Gennady L. Andrienko, Shie Mannor:
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), Lille, France, July 11th, 2015. CEUR Workshop Proceedings 1392, CEUR-WS.org 2015 [contents] - [i54]Assaf Hallak, Dotan Di Castro, Shie Mannor:
Contextual Markov Decision Processes. CoRR abs/1502.02259 (2015) - [i53]Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor:
Off-policy evaluation for MDPs with unknown structure. CoRR abs/1502.03255 (2015) - [i52]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Policy Gradient for Coherent Risk Measures. CoRR abs/1502.03919 (2015) - [i51]Nir Levine, Timothy A. Mann, Shie Mannor:
Actively Learning to Attract Followers on Twitter. CoRR abs/1504.04114 (2015) - [i50]Mark Kozdoba, Shie Mannor:
Overlapping Communities Detection via Measure Space Embedding. CoRR abs/1504.06796 (2015) - [i49]Mark Kozdoba, Shie Mannor:
Overlapping Community Detection by Online Cluster Aggregation. CoRR abs/1504.06798 (2015) - [i48]Orly Avner, Shie Mannor:
Learning to coordinate without communication in multi-user multi-armed bandit problems. CoRR abs/1504.08167 (2015) - [i47]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. CoRR abs/1506.02188 (2015) - [i46]Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Bootstrapping Skills. CoRR abs/1506.03624 (2015) - [i45]Gal Dalal, Shie Mannor:
Reinforcement Learning for the Unit Commitment Problem. CoRR abs/1507.05268 (2015) - [i44]Assaf Hallak, Aviv Tamar, Shie Mannor:
Emphatic TD Bellman Operator is a Contraction. CoRR abs/1508.03411 (2015) - [i43]Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor:
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. CoRR abs/1509.05172 (2015) - [i42]Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv:
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests. CoRR abs/1511.01258 (2015) - 2014
- [j60]Shie Mannor, Vianney Perchet, Gilles Stoltz:
Set-valued approachability and online learning with partial monitoring. J. Mach. Learn. Res. 15(1): 3247-3295 (2014) - [j59]Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Opportunistic Approachability and Generalized No-Regret Problems. Math. Oper. Res. 39(4): 1057-1083 (2014) - [j58]Kevin Cushon, Saied Hemati, Camille Leroux, Shie Mannor, Warren J. Gross:
High-Throughput Energy-Efficient LDPC Decoders Using Differential Binary Message Passing. IEEE Trans. Signal Process. 62(3): 619-631 (2014) - [c135]Kevin Cushon, Saied Hemati, Shie Mannor, Warren J. Gross:
Energy-efficient gear-shift LDPC decoders. ASAP 2014: 219-223 - [c134]Shie Mannor, Vianney Perchet, Gilles Stoltz:
Approachability in unknown games: Online learning meets multi-objective optimization. COLT 2014: 339-355 - [c133]François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik:
Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. EDBT/ICDT Workshops 2014: 373-374 - [c132]Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane:
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT 2014: 712-723 - [c131]Aditya Gopalan, Shie Mannor, Yishay Mansour:
Thompson Sampling for Complex Online Problems. ICML 2014: 100-108 - [c130]Timothy A. Mann, Shie Mannor:
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations. ICML 2014: 127-135 - [c129]Odalric-Ambrym Maillard, Shie Mannor:
Latent Bandits. ICML 2014: 136-144 - [c128]Aviv Tamar, Shie Mannor, Huan Xu:
Scaling Up Robust MDPs using Function Approximation. ICML 2014: 181-189 - [c127]Maayan Harel, Shie Mannor, Ran El-Yaniv, Koby Crammer:
Concept Drift Detection Through Resampling. ICML 2014: 1009-1017 - [c126]Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor:
Time-Regularized Interrupting Options (TRIO). ICML 2014: 1350-1358 - [c125]Adi Fuchs, Shie Mannor, Uri C. Weiser, Yoav Etsion:
Loop-Aware Memory Prefetching Using Code Block Working Sets. MICRO 2014: 533-544 - [c124]Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan:
Robust Logistic Regression and Classification. NIPS 2014: 253-261 - [c123]Odalric-Ambrym Maillard, Timothy A. Mann, Shie Mannor:
How hard is my MDP?" The distribution-norm to the rescue". NIPS 2014: 1835-1843 - [c122]Orly Avner, Shie Mannor:
Concurrent Bandits and Cognitive Radio Networks. ECML/PKDD (1) 2014: 66-81 - [c121]Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor:
Sub-sampling for Multi-armed Bandits. ECML/PKDD (1) 2014: 115-131 - [c120]François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos:
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) 2014: 520-523 - [c119]Eli A. Meirom, Shie Mannor, Ariel Orda:
Network formation games with heterogeneous players and the internet structure. EC 2014: 735-752 - [i41]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Localized epidemic detection in networks with overwhelming noise. CoRR abs/1402.1263 (2014) - [i40]Shie Mannor, Vianney Perchet, Gilles Stoltz:
Approachability in unknown games: Online learning meets multi-objective optimization. CoRR abs/1402.2043 (2014) - [i39]Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor:
Oracle-Based Robust Optimization via Online Learning. CoRR abs/1402.6361 (2014) - [i38]Aviv Tamar, Yonatan Glassner, Shie Mannor:
Policy Gradients Beyond Expectations: Conditional Value-at-Risk. CoRR abs/1404.3862 (2014) - [i37]Orly Avner, Shie Mannor:
Concurrent bandits and cognitive radio networks. CoRR abs/1404.5421 (2014) - [i36]Aditya Gopalan, Shie Mannor:
Thompson Sampling for Learning Parameterized MDPs. CoRR abs/1406.7498 (2014) - [i35]Jiashi Feng, Huan Xu, Shie Mannor:
Distributed Robust Learning. CoRR abs/1409.5937 (2014) - [i34]Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir:
Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback. CoRR abs/1409.8428 (2014) - [i33]Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi:
Implicit Temporal Differences. CoRR abs/1412.6734 (2014) - [i32]Eli A. Meirom, Shie Mannor, Ariel Orda:
Formation Games of Reliable Networks. CoRR abs/1412.8501 (2014) - 2013
- [j57]Shie Mannor, John N. Tsitsiklis:
Algorithmic aspects of mean-variance optimization in Markov decision processes. Eur. J. Oper. Res. 231(3): 645-653 (2013) - [j56]Esteban Arcaute, Kirill Dyagilev, Ramesh Johari, Shie Mannor:
Dynamics in tree formation games. Games Econ. Behav. 79: 1-29 (2013) - [j55]Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano:
A State Action Frequency Approach to Throughput Maximization over Uncertain Wireless Channels. Internet Math. 9(2-3): 136-160 (2013) - [j54]Jordan Frank, Shie Mannor, Joelle Pineau, Doina Precup:
Time Series Analysis Using Geometric Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 740-754 (2013) - [j53]Jordan Frank, Shie Mannor, Doina Precup:
Generating storylines from sensor data. Pervasive Mob. Comput. 9(6): 838-847 (2013) - [j52]Kirill Dyagilev, Shie Mannor, Elad Yom-Tov:
On information propagation in mobile call networks. Soc. Netw. Anal. Min. 3(3): 521-541 (2013) - [j51]Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross:
Stochastic Decoding of LDPC Codes over GF(q). IEEE Trans. Commun. 61(3): 939-950 (2013) - [j50]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Relaxed Half-Stochastic Belief Propagation. IEEE Trans. Commun. 61(5): 1648-1659 (2013) - [j49]Huan Xu, Constantine Caramanis, Shie Mannor:
Outlier-Robust PCA: The High-Dimensional Case. IEEE Trans. Inf. Theory 59(1): 546-572 (2013) - [c118]Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Opportunistic Strategies for Generalized No-Regret Problems. COLT 2013: 158-171 - [c117]Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir:
Online Learning for Time Series Prediction. COLT 2013: 172-184 - [c116]Vianney Perchet, Shie Mannor:
Approachability, fast and slow. COLT 2013: 474-488 - [c115]Aviv Tamar, Dotan Di Castro, Shie Mannor:
Temporal Difference Methods for the Variance of the Reward To Go. ICML (3) 2013: 495-503 - [c114]Yudong Chen, Constantine Caramanis, Shie Mannor:
Robust Sparse Regression under Adversarial Corruption. ICML (3) 2013: 774-782 - [c113]Assaf Hallak, Dotan Di Castro, Shie Mannor:
Model selection in markovian processes. KDD 2013: 374-382 - [c112]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Detecting epidemics using highly noisy data. MobiHoc 2013: 177-186 - [c111]Shiau Hong Lim, Huan Xu, Shie Mannor:
Reinforcement Learning in Robust Markov Decision Processes. NIPS 2013: 701-709 - [c110]Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan:
Online PCA for Contaminated Data. NIPS 2013: 764-772 - [c109]Daniel Vainsencher, Shie Mannor, Huan Xu:
Learning Multiple Models via Regularized Weighting. NIPS 2013: 1977-1985 - [i31]Aviv Tamar, Dotan Di Castro, Shie Mannor:
Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes. CoRR abs/1301.0104 (2013) - [i30]Yudong Chen, Constantine Caramanis, Shie Mannor:
Robust High Dimensional Sparse Regression and Matching Pursuit. CoRR abs/1301.2725 (2013) - [i29]Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir:
Online Learning for Time Series Prediction. CoRR abs/1302.6927 (2013) - [i28]Oren Anava, Elad Hazan, Shie Mannor:
Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage. CoRR abs/1302.6937 (2013) - [i27]Shie Mannor, Vianney Perchet, Gilles Stoltz:
A Primal Condition for Approachability with Partial Monitoring. CoRR abs/1305.5399 (2013) - [i26]Aviv Tamar, Huan Xu, Shie Mannor:
Scaling Up Robust MDPs by Reinforcement Learning. CoRR abs/1306.6189 (2013) - [i25]Eli A. Meirom, Shie Mannor, Ariel Orda:
Formation Games and the Internet Structure. CoRR abs/1307.4102 (2013) - [i24]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. CoRR abs/1309.6545 (2013) - [i23]Aviv Tamar, Shie Mannor:
Variance Adjusted Actor Critic Algorithms. CoRR abs/1310.3697 (2013) - [i22]Aditya Gopalan, Shie Mannor, Yishay Mansour:
Thompson Sampling for Complex Bandit Problems. CoRR abs/1311.0466 (2013) - 2012
- [j48]Amir Danak, Shie Mannor:
Approximately optimal bidding policies for repeated first-price auctions. Ann. Oper. Res. 196(1): 189-199 (2012) - [j47]Huan Xu, Constantine Caramanis, Shie Mannor:
Optimization Under Probabilistic Envelope Constraints. Oper. Res. 60(3): 682-699 (2012) - [j46]Huan Xu, Shie Mannor:
Robustness and generalization. Mach. Learn. 86(3): 391-423 (2012) - [j45]Huan Xu, Constantine Caramanis, Shie Mannor:
A Distributional Interpretation of Robust Optimization. Math. Oper. Res. 37(1): 95-110 (2012) - [j44]Huan Xu, Shie Mannor:
Distributionally Robust Markov Decision Processes. Math. Oper. Res. 37(2): 288-300 (2012) - [j43]Huan Xu, Constantine Caramanis, Shie Mannor:
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 187-193 (2012) - [j42]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Dithered Belief Propagation Decoding. IEEE Trans. Commun. 60(8): 2042-2047 (2012) - [c108]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
On identifying the causative network of an epidemic. Allerton Conference 2012: 909-914 - [c107]Arman C. Kizilkale, Shie Mannor, Peter E. Caines:
Large scale real-time bidding in the smart grid: A mean field framework. CDC 2012: 3680-3687 - [c106]Arman C. Kizilkale, Shie Mannor:
Duality of ancillary services and intermittent suppliers. CDC 2012: 4977-4984 - [c105]Orly Avner, Shie Mannor, Ohad Shamir:
Decoupling Exploration and Exploitation in Multi-Armed Bandits. ICML 2012 - [c104]Dotan Di Castro, Aviv Tamar, Shie Mannor:
Policy Gradients with Variance Related Risk Criteria. ICML 2012 - [c103]Shie Mannor, Ofir Mebel, Huan Xu:
Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. ICML 2012 - [c102]Maayan Harel, Shie Mannor:
The Perturbed Variation. NIPS 2012: 1943-1951 - [c101]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Network forensics: random infection vs spreading epidemic. SIGMETRICS 2012: 223-234 - [c100]Saeed Sharifi Tehrani, Paul H. Siegel, Shie Mannor, Warren J. Gross:
Joint Stochastic Decoding of LDPC Codes and Partial-Response Channels. SiPS 2012: 13-18 - [c99]Shie Mannor, Nathan Srebro:
Preface. COLT 2012: 1.1-1.2 - [c98]Yoav Haimovitch, Koby Crammer, Shie Mannor:
More Is Better: Large Scale Partially-supervised Sentiment Classication. ACML 2012: 175-190 - [c97]Huan Xu, Constantine Caramanis, Shie Mannor:
Statistical Optimization in High Dimensions. AISTATS 2012: 1332-1340 - [p1]Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart:
Bayesian Reinforcement Learning. Reinforcement Learning 2012: 359-386 - [e1]Shie Mannor, Nathan Srebro, Robert C. Williamson:
COLT 2012 - The 25th Annual Conference on Learning Theory, June 25-27, 2012, Edinburgh, Scotland. JMLR Proceedings 23, JMLR.org 2012 [contents] - [i21]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Relaxed Half-Stochastic Belief Propagation. CoRR abs/1205.2428 (2012) - [i20]Orly Avner, Shie Mannor, Ohad Shamir:
Decoupling Exploration and Exploitation in Multi-Armed Bandits. CoRR abs/1205.2874 (2012) - [i19]Loc Bui, Ramesh Johari, Shie Mannor:
Clustered Bandits. CoRR abs/1206.4169 (2012) - [i18]Shie Mannor, Ofir Mebel, Huan Xu:
Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. CoRR abs/1206.4643 (2012) - [i17]Assaf Hallak, Shie Mannor:
How to sample if you must: on optimal functional sampling. CoRR abs/1208.2417 (2012) - [i16]Yoav Haimovitch, Koby Crammer, Shie Mannor:
More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix. CoRR abs/1209.6329 (2012) - [i15]Maayan Harel, Shie Mannor:
The Perturbed Variation. CoRR abs/1210.4006 (2012) - 2011
- [j41]Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein:
The Sample Complexity of Dictionary Learning. J. Mach. Learn. Res. 12: 3259-3281 (2011) - [j40]Amir Danak, Shie Mannor:
A Robust Learning Approach to Repeated Auctions With Monitoring and Entry Fees. IEEE Trans. Comput. Intell. AI Games 3(4): 302-315 (2011) - [j39]Amir Danak, Shie Mannor:
Efficient Bidding in Dynamic Grid Markets. IEEE Trans. Parallel Distributed Syst. 22(9): 1483-1496 (2011) - [j38]Ali Naderi, Shie Mannor, Mohamad Sawan, Warren J. Gross:
Delayed Stochastic Decoding of LDPC Codes. IEEE Trans. Signal Process. 59(11): 5617-5626 (2011) - [j37]Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross:
Tracking Forecast Memories for Stochastic Decoding. J. Signal Process. Syst. 63(1): 117-127 (2011) - [c96]Jordan Frank, Shie Mannor, Doina Precup:
Activity Recognition with Time-Delay Emobeddings. AAAI Spring Symposium: Computational Physiology 2011 - [c95]Arman C. Kizilkale, Shie Mannor:
Regulation and double price mechanisms in markets with friction. CDC/ECC 2011: 33-40 - [c94]Orly Avner, Shie Mannor:
Stochastic bandits with pathwise constraints. CDC/ECC 2011: 3862-3869 - [c93]Jia Yuan Yu, Shie Mannor:
Unimodal Bandits. ICML 2011: 41-48 - [c92]Shie Mannor, John N. Tsitsiklis:
Mean-Variance Optimization in Markov Decision Processes. ICML 2011: 177-184 - [c91]Maayan Harel, Shie Mannor:
Learning from Multiple Outlooks. ICML 2011: 401-408 - [c90]Daniel Vainsencher, Ofer Dekel, Shie Mannor:
Bundle Selling by Online Estimation of Valuation Functions. ICML 2011: 1137-1144 - [c89]Huan Xu, Shie Mannor:
Probabilistic Goal Markov Decision Processes. IJCAI 2011: 2046-2052 - [c88]Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano:
A state action frequency approach to throughput maximization over uncertain wireless channels. INFOCOM 2011: 491-495 - [c87]Shie Mannor, Ohad Shamir:
From Bandits to Experts: On the Value of Side-Observations. NIPS 2011: 684-692 - [c86]Loc Bui, Ramesh Johari, Shie Mannor:
Committing Bandits. NIPS 2011: 1557-1565 - [c85]Jordan Frank, Shie Mannor, Doina Precup:
Activity Recognition with Mobile Phones. ECML/PKDD (3) 2011: 630-633 - [c84]Shie Mannor, Vianney Perchet, Gilles Stoltz:
Robust approachability and regret minimization in games with partial monitoring. COLT 2011: 515-536 - [c83]Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein:
The Sample Complexity of Dictionary Learning. COLT 2011: 773-788 - [c82]Jacob D. Abernethy, Shie Mannor:
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011: 809-812 - [i14]Shie Mannor, John N. Tsitsiklis:
Mean-Variance Optimization in Markov Decision Processes. CoRR abs/1104.5601 (2011) - [i13]Shie Mannor, Vianney Perchet, Gilles Stoltz:
Robust approachability and regret minimization in games with partial monitoring. CoRR abs/1105.4995 (2011) - [i12]Shie Mannor, Ohad Shamir:
From Bandits to Experts: On the Value of Side-Observations. CoRR abs/1106.2436 (2011) - [i11]Dotan Di Castro, Claudio Gentile, Shie Mannor:
Bandits with an Edge. CoRR abs/1109.2296 (2011) - [i10]Arman C. Kizilkale, Shie Mannor:
Regulation, Volatility and Efficiency in Continuous-Time Markets. CoRR abs/1109.3151 (2011) - 2010
- [j36]Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross:
Stochastic Chase Decoding of Reed-Solomon Codes. IEEE Commun. Lett. 14(9): 863-865 (2010) - [j35]Erick Delage, Shie Mannor:
Percentile Optimization for Markov Decision Processes with Parameter Uncertainty. Oper. Res. 58(1): 203-213 (2010) - [j34]Shie Mannor, Gilles Stoltz:
A Geometric Proof of Calibration. Math. Oper. Res. 35(4): 721-727 (2010) - [j33]Kevin Cushon, Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross:
A Min-Sum Iterative Decoder Based on Pulsewidth Message Encoding. IEEE Trans. Circuits Syst. II Express Briefs 57-II(11): 893-897 (2010) - [j32]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust regression and Lasso. IEEE Trans. Inf. Theory 56(7): 3561-3574 (2010) - [j31]Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Saied Hemati, Shie Mannor, Warren J. Gross:
Majority-based tracking forecast memories for stochastic LDPC decoding. IEEE Trans. Signal Process. 58(9): 4883-4896 (2010) - [j30]Saeed Sharifi Tehrani, Chris Winstead, Warren J. Gross, Shie Mannor, Sheryl L. Howard, Vincent C. Gaudet:
Relaxation dynamics in stochastic iterative decoders. IEEE Trans. Signal Process. 58(11): 5955-5961 (2010) - [c81]Jordan Frank, Shie Mannor, Doina Precup:
Activity and Gait Recognition with Time-Delay Embeddings. AAAI 2010: 1581-1586 - [c80]Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross:
Relaxed half-stochastic decoding of LDPC codes over GF(q). Allerton 2010: 36-41 - [c79]Arman C. Kizilkale, Shie Mannor:
Volatility and efficiency in markets with friction. Allerton 2010: 50-57 - [c78]Huan Xu, Constantine Caramanis, Shie Mannor:
A distributional interpretation of robust optimization. Allerton 2010: 552-556 - [c77]Dotan Di Castro, Shie Mannor:
Tutor learning using linear constraints in approximate dynamic programming. Allerton 2010: 1384-1390 - [c76]Arman C. Kizilkale, Shie Mannor:
Regulation and efficiency in markets with friction. CDC 2010: 4137-4144 - [c75]Dotan Di Castro, Shie Mannor:
Adaptive bases for Q-learning. CDC 2010: 4587-4593 - [c74]Eyal Even-Dar, Shie Mannor, Yishay Mansour:
Learning with Global Cost in Stochastic Environments. COLT 2010: 80-92 - [c73]Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT 2010: 490-502 - [c72]Huan Xu, Shie Mannor:
Robustness and Generalization. COLT 2010: 503-515 - [c71]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Lowering Error Floors Using Dithered Belief Propagation. GLOBECOM 2010: 1-6 - [c70]Jordan Frank, Shie Mannor, Doina Precup:
A novel similarity measure for time series data with applications to gait and activity recognition. UbiComp (Adjunct Papers) 2010: 407-408 - [c69]Amir Danak, Shie Mannor:
Resource Allocation with Supply Adjustment in Distributed Computing Systems. ICDCS 2010: 498-506 - [c68]Kirill Dyagilev, Shie Mannor, Elad Yom-Tov:
Generative models for rapid information propagation. SOMA@KDD 2010: 35-43 - [c67]Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Online Classification with Specificity Constraints. NIPS 2010: 190-198 - [c66]Huan Xu, Shie Mannor:
Distributionally Robust Markov Decision Processes. NIPS 2010: 2505-2513 - [c65]Dotan Di Castro, Shie Mannor:
Adaptive Bases for Reinforcement Learning. ECML/PKDD (1) 2010: 312-327 - [r1]Shie Mannor:
k-Armed Bandit. Encyclopedia of Machine Learning 2010: 561-563 - [i9]Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. CoRR abs/1002.4658 (2010) - [i8]Maayan Gal-on, Shie Mannor:
Learning from Multiple Outlooks. CoRR abs/1005.0027 (2010) - [i7]Dotan Di Castro, Shie Mannor:
Adaptive Bases for Reinforcement Learning. CoRR abs/1005.0125 (2010) - [i6]Huan Xu, Shie Mannor:
Robustness and Generalization. CoRR abs/1005.2243 (2010) - [i5]Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein:
The Sample Complexity of Dictionary Learning. CoRR abs/1011.5395 (2010)
2000 – 2009
- 2009
- [j29]Shie Mannor, John N. Tsitsiklis:
Approachability in repeated games: Computational aspects and a Stackelberg variant. Games Econ. Behav. 66(1): 315-325 (2009) - [j28]Shie Mannor, John N. Tsitsiklis, Jia Yuan Yu:
Online Learning with Sample Path Constraints. J. Mach. Learn. Res. 10: 569-590 (2009) - [j27]Huan Xu, Constantine Caramanis, Shie Mannor:
Robustness and Regularization of Support Vector Machines. J. Mach. Learn. Res. 10: 1485-1510 (2009) - [j26]Jia Yuan Yu, Shie Mannor, Nahum Shimkin:
Markov Decision Processes with Arbitrary Reward Processes. Math. Oper. Res. 34(3): 737-757 (2009) - [j25]Huan Xu, Shie Mannor:
A Kalman Filter Design Based on the Performance/Robustness Tradeoff. IEEE Trans. Autom. Control. 54(5): 1171-1175 (2009) - [j24]Esteban Arcaute, Ramesh Johari, Shie Mannor:
Network Formation: Bilateral Contracting and Myopic Dynamics. IEEE Trans. Autom. Control. 54(8): 1765-1778 (2009) - [c64]Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor:
Regularized Fitted Q-Iteration for planning in continuous-space Markovian decision problems. ACC 2009: 725-730 - [c63]Jia Yuan Yu, Shie Mannor:
Arbitrarily modulated Markov decision processes. CDC 2009: 2946-2953 - [c62]Huan Xu, Shie Mannor:
Parametric regret in uncertain Markov decision processes. CDC 2009: 3606-3613 - [c61]Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun:
Risk sensitive robust support vector machines. CDC 2009: 4655-4661 - [c60]Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour:
Online Learning for Global Cost Functions. COLT 2009 - [c59]Amir Danak, Shie Mannor:
Bidding efficiently in repeated auctions with entry and observation costs. GAMENETS 2009: 299-307 - [c58]Jia Yuan Yu, Shie Mannor:
Online learning in Markov decision processes with arbitrarily changing rewards and transitions. GAMENETS 2009: 314-322 - [c57]François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor:
A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. GLOBECOM 2009: 1-6 - [c56]Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross:
Tracking Forecast Memories in stochastic decoders. ICASSP 2009: 561-564 - [c55]Gabi Sarkis, Shie Mannor, Warren J. Gross:
Stochastic Decoding of LDPC Codes over GF(q). ICC 2009: 1-5 - [c54]Jia Yuan Yu, Shie Mannor:
Piecewise-stationary bandit problems with side observations. ICML 2009: 1177-1184 - [c53]Huan Xu, Constantine Caramanis, Shie Mannor:
High dimensional Principal Component Analysis with contaminated data. ITW 2009: 246-250 - [c52]Kevin Cushon, Warren J. Gross, Shie Mannor:
Bidirectional interleavers for LDPC decoders using transmission gates. SiPS 2009: 232-237 - 2008
- [j23]Shie Mannor, Nahum Shimkin:
Regret minimization in repeated matrix games with variable stage duration. Games Econ. Behav. 63(1): 227-258 (2008) - [j22]Gábor Lugosi, Shie Mannor, Gilles Stoltz:
Strategies for Prediction Under Imperfect Monitoring. Math. Oper. Res. 33(3): 513-528 (2008) - [j21]Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross:
Fully Parallel Stochastic LDPC Decoders. IEEE Trans. Signal Process. 56(11): 5692-5703 (2008) - [c51]Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor:
Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI 2008: 331-336 - [c50]Esteban Arcaute, Ramesh Johari, Shie Mannor:
Local dynamics for network formation games. Allerton 2008: 937-938 - [c49]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust dimensionality reduction for high-dimension data. Allerton 2008: 1291-1298 - [c48]Huan Xu, Shie Mannor, Constantine Caramanis:
Sparse algorithms are not stable: A no-free-lunch theorem. Allerton 2008: 1299-1303 - [c47]Constantine Caramanis, Shie Mannor:
Learning in the Limit with Adversarial Disturbances. COLT 2008: 467-478 - [c46]Kirill Dyagilev, Shie Mannor, Nahum Shimkin:
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case. EWRL 2008: 41-54 - [c45]Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor:
Regularized Fitted Q-Iteration: Application to Planning. EWRL 2008: 55-68 - [c44]Jia Yuan Yu, Shie Mannor, Nahum Shimkin:
Markov Decision Processes with Arbitrary Reward Processes. EWRL 2008: 268-281 - [c43]Jordan Frank, Shie Mannor, Doina Precup:
Reinforcement learning in the presence of rare events. ICML 2008: 336-343 - [c42]Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor:
A Lazy Approach to Online Learning with Constraints. ISAIM 2008 - [c41]Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor:
Regularized Policy Iteration. NIPS 2008: 441-448 - [c40]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso. NIPS 2008: 1801-1808 - [c39]Kirill Dyagilev, Shie Mannor, Nahum Shimkin:
Efficient reinforcement learning in parameterized models: discrete parameters. VALUETOOLS 2008: 64 - [c38]Esteban Arcaute, Ramesh Johari, Shie Mannor:
Local Two-Stage Myopic Dynamics for Network Formation Games. WINE 2008: 263-277 - [i4]Huan Xu, Shie Mannor, Constantine Caramanis:
Robustness, Risk, and Regularization in Support Vector Machines. CoRR abs/0803.3490 (2008) - [i3]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso. CoRR abs/0811.1790 (2008) - 2007
- [j20]Shie Mannor, Jeff S. Shamma:
Multi-agent learning for engineers. Artif. Intell. 171(7): 417-422 (2007) - [j19]Jia Yuan Yu, Shie Mannor:
Efficiency of Market-Based Resource Allocation among Many Participants. IEEE J. Sel. Areas Commun. 25(6): 1244-1259 (2007) - [j18]Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis:
Bias and Variance Approximation in Value Function Estimates. Manag. Sci. 53(2): 308-322 (2007) - [j17]Shie Mannor, Jeff S. Shamma, Gürdal Arslan:
Online calibrated forecasts: Memory efficiency versus universality for learning in games. Mach. Learn. 67(1-2): 77-115 (2007) - [j16]Constantine Caramanis, Shie Mannor:
An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Trans. Inf. Theory 53(3): 1043-1057 (2007) - [c37]Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah:
Adaptive Timeout Policies for Fast Fine-Grained Power Management. AAAI 2007: 1795-1800 - [c36]Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer:
User Model and Utility Based Power Management. AAAI 2007: 1918-1919 - [c35]Esteban Arcaute, Eric Dallal, Ramesh Johari, Shie Mannor:
Dynamics and stability in network formation games with bilateral contracts. CDC 2007: 3435-3442 - [c34]Gábor Lugosi, Shie Mannor, Gilles Stoltz:
Strategies for Prediction Under Imperfect Monitoring. COLT 2007: 248-262 - [c33]Benoît Châtelain, Shie Mannor, François Gagnon, David V. Plant:
Non-Cooperative Design of Translucent Networks. GLOBECOM 2007: 2348-2352 - [c32]Erick Delage, Shie Mannor:
Percentile optimization in uncertain Markov decision processes with application to efficient exploration. ICML 2007: 225-232 - [c31]Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross:
Survey of Stochastic Computation on Factor Graphs. ISMVL 2007: 54 - [c30]Fariba Heidari, Shie Mannor, Lorne Mason:
Reinforcement Learning-Based Load Shared Sequential Routing. Networking 2007: 832-843 - [c29]Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross:
An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding. SiPS 2007: 255-260 - [c28]Esteban Arcaute, Ramesh Johari, Shie Mannor:
Network Formation: Bilateral Contracting and Myopic Dynamics. WINE 2007: 191-207 - [i2]Gábor Lugosi, Shie Mannor, Gilles Stoltz:
Strategies for prediction under imperfect monitoring. CoRR abs/math/0701419 (2007) - 2006
- [j15]Ramesh Johari, Shie Mannor, John N. Tsitsiklis:
A contract-based model for directed network formation. Games Econ. Behav. 56(2): 201-224 (2006) - [j14]Saeed Sharifi Tehrani, Warren J. Gross, Shie Mannor:
Stochastic decoding of LDPC codes. IEEE Commun. Lett. 10(10): 716-718 (2006) - [j13]Eyal Even-Dar, Shie Mannor, Yishay Mansour:
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. J. Mach. Learn. Res. 7: 1079-1105 (2006) - [j12]Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet:
Design of ℓ1-optimal controllers with flexible disturbance rejection level. IEEE Trans. Autom. Control. 51(5): 868-873 (2006) - [c27]Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet:
Design of l1-Optimal Controllers with Flexible Disturbance Rejection Level. ACC 2006: 1700-1705 - [c26]Shie Mannor, Nahum Shimkin:
Online Learning with Variable Stage Duration. COLT 2006: 408-422 - [c25]Shie Mannor, John N. Tsitsiklis:
Online Learning with Constraints. COLT 2006: 529-543 - [c24]Philipp W. Keller, Shie Mannor, Doina Precup:
Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML 2006: 449-456 - [c23]Jia Yuan Yu, Shie Mannor:
Asymptotics of Efficiency Loss in Competitive Market Mechanisms. INFOCOM 2006 - [c22]Huan Xu, Shie Mannor:
The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS 2006: 1537-1544 - 2005
- [j11]Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh:
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Mag. 26(1): 103-108 (2005) - [j10]Pieter-Tjerk de Boer, Dirk P. Kroese, Shie Mannor, Reuven Y. Rubinstein:
A Tutorial on the Cross-Entropy Method. Ann. Oper. Res. 134(1): 19-67 (2005) - [j9]Ishai Menache, Shie Mannor, Nahum Shimkin:
Basis Function Adaptation in Temporal Difference Reinforcement Learning. Ann. Oper. Res. 134(1): 215-238 (2005) - [j8]Shie Mannor, John N. Tsitsiklis:
On the Empirical State-Action Frequencies in Markov Decision Processes Under General Policies. Math. Oper. Res. 30(3): 545-561 (2005) - [j7]Ramesh Johari, Shie Mannor, John N. Tsitsiklis:
Efficiency loss in a network resource allocation game: the case of elastic supply. IEEE Trans. Autom. Control. 50(11): 1712-1724 (2005) - [c21]Yaakov Engel, Shie Mannor, Ron Meir:
Reinforcement learning with Gaussian processes. ICML 2005: 201-208 - [c20]Shie Mannor, Dori Peleg, Reuven Y. Rubinstein:
The cross entropy method for classification. ICML 2005: 561-568 - [i1]Ramesh Johari, Shie Mannor, John N. Tsitsiklis:
Efficiency Loss in a Network Resource Allocation Game: The Case of Elastic Supply. CoRR abs/cs/0506054 (2005) - 2004
- [j6]Shie Mannor, Nahum Shimkin:
A Geometric Approach to Multi-Criterion Reinforcement Learning. J. Mach. Learn. Res. 5: 325-360 (2004) - [j5]Shie Mannor, John N. Tsitsiklis:
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem. J. Mach. Learn. Res. 5: 623-648 (2004) - [j4]Yaakov Engel, Shie Mannor, Ron Meir:
The kernel recursive least-squares algorithm. IEEE Trans. Signal Process. 52(8): 2275-2285 (2004) - [c19]Ramesh Johari, Shie Mannor, John N. Tsitsiklis:
Efficiency loss in a resource allocation game: A single link in elastic supply. CDC 2004: 4679-4683 - [c18]Shie Mannor:
Reinforcement Learning for Average Reward Zero-Sum Games. COLT 2004: 49-63 - [c17]Constantine Caramanis, Shie Mannor:
An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT 2004: 534-548 - [c16]Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein:
Dynamic abstraction in reinforcement learning via clustering. ICML 2004 - [c15]Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis:
Bias and variance in value function estimation. ICML 2004 - 2003
- [j3]Shie Mannor, Ron Meir, Tong Zhang:
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. J. Mach. Learn. Res. 4: 713-741 (2003) - [j2]Shie Mannor, Nahum Shimkin:
The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes. Math. Oper. Res. 28(2): 327-345 (2003) - [c14]Shie Mannor, John N. Tsitsiklis:
Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem. COLT 2003: 418-432 - [c13]Shie Mannor, Nahum Shimkin:
On-Line Learning with Imperfect Monitoring. COLT 2003: 552-566 - [c12]Yaakov Engel, Shie Mannor, Ron Meir:
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. ICML 2003: 154-161 - [c11]Eyal Even-Dar, Shie Mannor, Yishay Mansour:
Action Elimination and Stopping Conditions for Reinforcement Learning. ICML 2003: 162-169 - [c10]Shie Mannor, Reuven Y. Rubinstein, Yohai Gat:
The Cross Entropy Method for Fast Policy Search. ICML 2003: 512-519 - 2002
- [j1]Shie Mannor, Ron Meir:
On the Existence of Linear Weak Learners and Applications to Boosting. Mach. Learn. 48(1-3): 219-251 (2002) - [c9]Eyal Even-Dar, Shie Mannor, Yishay Mansour:
PAC Bounds for Multi-armed Bandit and Markov Decision Processes. COLT 2002: 255-270 - [c8]Shie Mannor, Ron Meir, Tong Zhang:
The Consistency of Greedy Algorithms for Classification. COLT 2002: 319-333 - [c7]Yaakov Engel, Shie Mannor, Ron Meir:
Sparse Online Greedy Support Vector Regression. ECML 2002: 84-96 - [c6]Ishai Menache, Shie Mannor, Nahum Shimkin:
Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning. ECML 2002: 295-306 - 2001
- [c5]Shie Mannor, Nahum Shimkin:
Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments. COLT/EuroCOLT 2001: 128-142 - [c4]Shie Mannor, Ron Meir:
Geometric Bounds for Generalization in Boosting. COLT/EuroCOLT 2001: 461-472 - [c3]Yaakov Engel, Shie Mannor:
Learning Embedded Maps of Markov Processes. ICML 2001: 138-145 - [c2]Shie Mannor, Nahum Shimkin:
The Steering Approach for Multi-Criteria Reinforcement Learning. NIPS 2001: 1563-1570 - 2000
- [c1]Shie Mannor, Ron Meir:
Weak Learners and Improved Rates of Convergence in Boosting. NIPS 2000: 280-286
Coauthor Index
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