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Person information
- affiliation: Rutgers University, Piscataway, USA
- affiliation (former): Microsoft Research, New York, USA
- affiliation (former): Yahoo! Research, New York, USA
- affiliation (former): Overture Research, Pasadena, USA
- affiliation (former): NEC Laboratories America, Princeton, USA
- affiliation (former): University of Michigan, Ann Arbor, Electrical Engineering and Computer Science Department
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2020 – today
- 2024
[j33]Rupert Freeman
, Jens Witkowski, Jennifer Wortman Vaughan, David M. Pennock:
An Equivalence Between Fair Division and Wagering Mechanisms. Manag. Sci. 70(10): 6704-6723 (2024)- [c97]David M. Pennock, Ariel Schvartzman, Eric Xue:
Toward Fair and Strategyproof Tournament Rules for Tournaments with Partially Transferable Utilities. ADT 2024: 174-188 - [c96]Xintong Wang, David M. Pennock, David M. Rothschild, Nikhil R. Devanur:
Designing Expressive and Liquid Financial Options Markets via Linear Programming and Automated Market Making. ICAIF 2024: 496-503 - [c95]Abdulaziz A. Almuzaini, David M. Pennock, Vivek K. Singh:
Accuracy and Fairness for Web-Based Content Analysis under Temporal Shifts and Delayed Labeling. WebSci 2024: 268-278 - [i32]David M. Pennock, Ariel Schvartzman, Eric Xue:
Toward Fair and Strategyproof Tournament Rules for Tournaments with Partially Transferable Utilities. CoRR abs/2408.10346 (2024) - [i31]Abraham Gale, Amélie Marian, David M. Pennock:
Post-Match Error Mitigation for Deferred Acceptance. CoRR abs/2409.13604 (2024) - 2023
- [j32]Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
Incentive-Compatible Forecasting Competitions. Manag. Sci. 69(3): 1354-1374 (2023) - [c94]Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles:
Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration. AAMAS 2023: 2304-2306 - [c93]Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer:
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work. HHAI 2023: 300-309 - [i30]Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer:
A prototype hybrid prediction market for estimating replicability of published work. CoRR abs/2303.00866 (2023) - 2022
- [c92]Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles:
A Synthetic Prediction Market for Estimating Confidence in Published Work. AAAI 2022: 13218-13220 - [c91]Abdulaziz A. Almuzaini, Chidansh A. Bhatt, David M. Pennock, Vivek K. Singh:
ABCinML: Anticipatory Bias Correction in Machine Learning Applications. FAccT 2022: 1552-1560 - [e3]David M. Pennock, Ilya Segal, Sven Seuken:
EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11 - 15, 2022. ACM 2022, ISBN 978-1-4503-9150-4 [contents] - [i29]Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles:
A Synthetic Prediction Market for Estimating Confidence in Published Work. CoRR abs/2201.06924 (2022) - [i28]Abdulaziz A. Almuzaini, Chidansh A. Bhatt, David M. Pennock, Vivek K. Singh:
ABCinML: Anticipatory Bias Correction in Machine Learning Applications. CoRR abs/2206.06960 (2022) - [i27]Tatiana Chakravorti, Vaibhav Singh, Sarah Rajmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles:
Artificial prediction markets present a novel opportunity for human-AI collaboration. CoRR abs/2211.16590 (2022) - [i26]Markus Brill, Jiehua Chen, Andreas Darmann, David M. Pennock, Matthias Greger:
Algorithms for Participatory Democracy (Dagstuhl Seminar 22271). Dagstuhl Reports 12(7): 1-18 (2022) - 2021
- [j31]Rupert Freeman, David M. Pennock, Dominik Peters, Jennifer Wortman Vaughan:
Truthful aggregation of budget proposals. J. Econ. Theory 193: 105234 (2021) - [c90]Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild:
Log-time Prediction Markets for Interval Securities. AAMAS 2021: 465-473 - [c89]Rupert Freeman, David M. Pennock, Daniel M. Reeves, David M. Rothschild, Bo Waggoner:
Towards a Theory of Confidence in Market-Based Predictions. ISIPTA 2021: 365-368 - [c88]Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman:
Designing a Combinatorial Financial Options Market. EC 2021: 864-883 - [c87]Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins:
Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. SODA 2021: 1099-1118 - [i25]Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
Incentive-Compatible Forecasting Competitions. CoRR abs/2101.01816 (2021) - [i24]Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild:
Log-time Prediction Markets for Interval Securities. CoRR abs/2102.07308 (2021) - [i23]Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman:
Designing a Combinatorial Financial Options Market. CoRR abs/2109.06443 (2021) - 2020
- [j30]Eduardo M. Azevedo, David M. Pennock, Bo Waggoner, E. Glen Weyl:
Channel Auctions. Manag. Sci. 66(5): 2075-2082 (2020) - [j29]Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan:
The Possibilities and Limitations of Private Prediction Markets. ACM Trans. Economics and Comput. 8(3): 15:1-15:24 (2020) - [c86]Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner:
Preventing Arbitrage from Collusion When Eliciting Probabilities. AAAI 2020: 1958-1965 - [c85]Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan:
No-Regret and Incentive-Compatible Online Learning. ICML 2020: 3270-3279 - [c84]Rupert Freeman, Anson Kahng, David M. Pennock:
Proportionality in Approval-Based Elections With a Variable Number of Winners. IJCAI 2020: 132-138 - [i22]Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan:
No-Regret and Incentive-Compatible Online Learning. CoRR abs/2002.08837 (2020) - [i21]Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins:
Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. CoRR abs/2007.12653 (2020)
2010 – 2019
- 2019
- [j28]Alireza Farhadi, Mohammad Ghodsi, Mohammad Taghi Hajiaghayi, Sébastien Lahaie, David M. Pennock, Masoud Seddighin, Saeed Seddighin, Hadi Yami:
Fair Allocation of Indivisible Goods to Asymmetric Agents. J. Artif. Intell. Res. 64: 1-20 (2019) - [c83]Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan:
An Equivalence between Wagering and Fair-Division Mechanisms. AAAI 2019: 1957-1964 - [c82]Rupert Freeman, David M. Pennock, Dominik Peters, Jennifer Wortman Vaughan:
Truthful Aggregation of Budget Proposals. EC 2019: 751-752 - [c81]David M. Pennock:
Smarter Markets: Bringing Intelligence into the Exchange. WWW (Companion Volume) 2019: 930 - [i20]Rupert Freeman, David M. Pennock, Dominik Peters, Jennifer Wortman Vaughan:
Truthful Aggregation of Budget Proposals. CoRR abs/1905.00457 (2019) - 2018
- [j27]Hoda Heidari, Sébastien Lahaie, David M. Pennock, Jennifer Wortman Vaughan:
Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets. ACM Trans. Economics and Comput. 6(3-4): 15:1-15:26 (2018) - [c80]Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
Incentive-Compatible Forecasting Competitions. AAAI 2018: 1282-1289 - [c79]Rupert Freeman, David M. Pennock:
An Axiomatic View of the Parimutuel Consensus Wagering Mechanism. AAMAS 2018: 1936-1938 - [c78]Rupert Freeman, David M. Pennock:
An Axiomatic View of the Parimutuel Consensus Mechanism. IJCAI 2018: 254-260 - 2017
- [j26]David M. Pennock, Ilya Segal:
Editorial from the New TEAC Co-Editors-in-Chief. ACM Trans. Economics and Comput. 5(2) (2017) - [c77]Rupert Freeman, Sébastien Lahaie, David M. Pennock:
Crowdsourced Outcome Determination in Prediction Markets. AAAI 2017: 523-529 - [c76]Alireza Farhadi, MohammadTaghi Hajiaghayi, Mohammad Ghodsi, Sébastien Lahaie, David M. Pennock, Masoud Seddighin, Saeed Seddighin, Hadi Yami:
Fair Allocation of Indivisible Goods to Asymmetric Agents. AAMAS 2017: 1535-1537 - [c75]Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan:
The Double Clinching Auction for Wagering. EC 2017: 43-60 - [i19]Alireza Farhadi, Mohammad Ghodsi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, David M. Pennock, Masoud Seddighin, Saeed Seddighin, Hadi Yami:
Fair Allocation of Indivisible Goods to Asymmetric Agents. CoRR abs/1703.01649 (2017) - 2016
- [c74]Elaine Wah, Sébastien Lahaie, David M. Pennock:
An Empirical Game-Theoretic Analysis of Price Discovery in Prediction Markets. IJCAI 2016: 510-516 - [c73]Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan:
The Possibilities and Limitations of Private Prediction Markets. EC 2016: 143-160 - [c72]David M. Pennock, Vasilis Syrgkanis, Jennifer Wortman Vaughan:
Bounded Rationality in Wagering Mechanisms. UAI 2016 - [i18]Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan:
The Possibilities and Limitations of Private Prediction Markets. CoRR abs/1602.07362 (2016) - [i17]Rupert Freeman, Sébastien Lahaie, David M. Pennock:
Crowdsourced Outcome Determination in Prediction Markets. CoRR abs/1612.04885 (2016) - 2015
- [j25]Nicolas S. Lambert, John Langford, Jennifer Wortman Vaughan, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock:
An axiomatic characterization of wagering mechanisms. J. Econ. Theory 156: 389-416 (2015) - [c71]Hoda Heidari, Sébastien Lahaie, David M. Pennock, Jennifer Wortman Vaughan:
Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets. EC 2015: 583-600 - [c70]Nikhil R. Devanur, Miroslav Dudík, Zhiyi Huang, David M. Pennock:
Budget Constraints in Prediction Markets. UAI 2015: 238-247 - [i16]Nikhil R. Devanur, Miroslav Dudík, Zhiyi Huang, David M. Pennock:
Budget Constraints in Prediction Markets. CoRR abs/1510.02045 (2015) - 2014
- [j24]David M. Rothschild, David M. Pennock:
The extent of price misalignment in prediction markets. Algorithmic Finance 3(1-2): 3-20 (2014) - [c69]Willemien Kets, David M. Pennock, Rajiv Sethi, Nisarg Shah:
Betting Strategies, Market Selection, and the Wisdom of Crowds. AAAI 2014: 735-741 - [c68]Yiling Chen, Nikhil R. Devanur, David M. Pennock, Jennifer Wortman Vaughan:
Removing arbitrage from wagering mechanisms. EC 2014: 377-394 - 2013
- [j23]Abraham Othman, David M. Pennock, Daniel M. Reeves, Tuomas Sandholm:
A Practical Liquidity-Sensitive Automated Market Maker. ACM Trans. Economics and Comput. 1(3): 14:1-14:25 (2013) - [c67]Miroslav Dudík, Sébastien Lahaie, David M. Pennock, David M. Rothschild:
A combinatorial prediction market for the U.S. elections. EC 2013: 341-358 - [i15]David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles:
Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events. CoRR abs/1301.0594 (2013) - [i14]Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence:
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. CoRR abs/1301.2303 (2013) - [i13]David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles:
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach. CoRR abs/1301.3885 (2013) - [i12]David M. Pennock, Michael P. Wellman:
Compact Securities Markets for Pareto Optimal Reallocation of Risk. CoRR abs/1301.3886 (2013) - [i11]David M. Pennock, Michael P. Wellman:
Graphical Representations of Consensus Belief. CoRR abs/1301.6732 (2013) - [i10]David M. Pennock:
Logarithmic Time Parallel Bayesian Inference. CoRR abs/1301.7406 (2013) - [i9]David M. Pennock, Michael P. Wellman:
Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. CoRR abs/1302.1564 (2013) - [i8]David M. Pennock, Michael P. Wellman:
Toward a Market Model for Bayesian Inference. CoRR abs/1302.3593 (2013) - 2012
- [c66]Alina Beygelzimer, John Langford, David M. Pennock:
Learning performance of prediction markets with Kelly bettors. AAMAS 2012: 1317-1318 - [c65]Sharad Goel, David M. Pennock, Mohammad Mahdian, Daniel M. Reeves:
TrustBets: betting over an IOU network. AAMAS 2012: 1319-1320 - [c64]Miroslav Dudík, Sébastien Lahaie, David M. Pennock:
A tractable combinatorial market maker using constraint generation. EC 2012: 459-476 - [i7]Alina Beygelzimer, John Langford, David M. Pennock:
Learning Performance of Prediction Markets with Kelly Bettors. CoRR abs/1201.6655 (2012) - [i6]David M. Pennock, Lirong Xia:
Price Updating in Combinatorial Prediction Markets with Bayesian Networks. CoRR abs/1202.3756 (2012) - [i5]Yiling Chen, David M. Pennock:
A Utility Framework for Bounded-Loss Market Makers. CoRR abs/1206.5252 (2012) - [i4]Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach:
An Empirical Comparison of Algorithms for Aggregating Expert Predictions. CoRR abs/1206.6814 (2012) - [i3]Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence:
1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?". CoRR abs/1212.2477 (2012) - 2011
- [c63]Lirong Xia, David M. Pennock:
An Efficient Monte-Carlo Algorithm for Pricing Combinatorial Prediction Markets for Tournaments. IJCAI 2011: 452-457 - [c62]David M. Pennock, Lirong Xia:
Price Updating in Combinatorial Prediction Markets with Bayesian Networks. UAI 2011: 581-588 - 2010
- [j22]Yiling Chen, David M. Pennock:
Designing Markets for Prediction. AI Mag. 31(4): 42-52 (2010) - [j21]Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen:
Gaming Prediction Markets: Equilibrium Strategies with a Market Maker. Algorithmica 58(4): 930-969 (2010) - [j20]Sharad Goel, Jake M. Hofman, Sébastien Lahaie, David M. Pennock, Duncan J. Watts:
Predicting consumer behavior with Web search. Proc. Natl. Acad. Sci. USA 107(41): 17486-17490 (2010) - [c61]Sharad Goel, Daniel M. Reeves, Duncan J. Watts, David M. Pennock:
Prediction without markets. EC 2010: 357-366 - [c60]Abraham Othman, Tuomas Sandholm, David M. Pennock, Daniel M. Reeves:
A practical liquidity-sensitive automated market maker. EC 2010: 377-386
2000 – 2009
- 2009
- [j19]Joan Feigenbaum, David C. Parkes, David M. Pennock:
Computational challenges in e-commerce. Commun. ACM 52(1): 70-74 (2009) - [c59]Mingyu Guo, David M. Pennock:
Combinatorial prediction markets for event hierarchies. AAMAS (1) 2009: 201-208 - [c58]Sharad Goel, Daniel M. Reeves, David M. Pennock:
Collective revelation: a mechanism for self-verified, weighted, and truthful predictions. EC 2009: 265-274 - [c57]Xi Alice Gao, Yiling Chen, David M. Pennock:
Betting on the Real Line. WINE 2009: 553-560 - [e2]Sanmay Das, Michael Ostrovsky, David M. Pennock, Boleslaw K. Szymanski:
Auctions, Market Mechanisms and Their Applications, First International ICST Conference, AMMA 2009, Boston, MA, USA, May 8-9, 2009, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 14, Springer 2009, ISBN 978-3-642-03820-4 [contents] - 2008
- [j18]Nicolas S. Lambert, David M. Pennock, Yoav Shoham:
Eliciting properties of probability distributions: the highlights. SIGecom Exch. 7(3) (2008) - [c56]Sébastien Lahaie, David C. Parkes, David M. Pennock:
An Expressive Auction Design for Online Display Advertising. AAAI 2008: 108-113 - [c55]Sharad Goel, David M. Pennock, Daniel M. Reeves, Cong Yu:
Yoopick: A Combinatorial Sports Prediction Market. AAAI 2008: 1880-1881 - [c54]Nicolas S. Lambert, David M. Pennock, Yoav Shoham:
Eliciting properties of probability distributions. EC 2008: 129-138 - [c53]Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock:
Self-financed wagering mechanisms for forecasting. EC 2008: 170-179 - [c52]Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman:
Complexity of combinatorial market makers. EC 2008: 190-199 - [c51]Yiling Chen, Sharad Goel, David M. Pennock:
Pricing combinatorial markets for tournaments. STOC 2008: 305-314 - [c50]Yiling Chen, Arpita Ghosh, Randolph Preston McAfee, David M. Pennock:
Sharing Online Advertising Revenue with Consumers. WINE 2008: 556-565 - [c49]Mohammad Mahdian, Randolph Preston McAfee, David M. Pennock:
The Secretary Problem with a Hazard Rate Condition. WINE 2008: 708-715 - [i2]Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman:
Complexity of Combinatorial Market Makers. CoRR abs/0802.1362 (2008) - 2007
- [j17]Juan Feng, Hemant K. Bhargava, David M. Pennock:
Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms. INFORMS J. Comput. 19(1): 137-148 (2007) - [j16]Yiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock:
Combinatorial betting. SIGecom Exch. 7(1): 61-64 (2007) - [c48]Seung-Taek Park, David M. Pennock:
Applying collaborative filtering techniques to movie search for better ranking and browsing. KDD 2007: 550-559 - [c47]Sébastien Lahaie, David M. Pennock:
Revenue analysis of a family of ranking rules for keyword auctions. EC 2007: 50-56 - [c46]Yiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock:
Betting on permutations. EC 2007: 326-335 - [c45]Yiling Chen, John O. Ledyard, David M. Pennock, Eric Zitzewitz:
Second workshop on prediction markets. EC 2007: 361-362 - [c44]Yiling Chen, David M. Pennock:
A Utility Framework for Bounded-Loss Market Makers. UAI 2007: 49-56 - [c43]Yiling Chen, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen:
Bluffing and Strategic Reticence in Prediction Markets. WINE 2007: 70-81 - [c42]Arpita Ghosh, Mohammad Mahdian, Daniel M. Reeves, David M. Pennock, Ryan Fugger:
Mechanism Design on Trust Networks. WINE 2007: 257-268 - 2006
- [c41]Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste:
Naïve filterbots for robust cold-start recommendations. KDD 2006: 699-705 - [c40]Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach:
An Empirical Comparison of Algorithms for Aggregating Expert Predictions. UAI 2006 - [e1]Joan Feigenbaum, John C.-I. Chuang, David M. Pennock:
Proceedings 7th ACM Conference on Electronic Commerce (EC-2006), Ann Arbor, Michigan, USA, June 11-15, 2006. ACM 2006, ISBN 1-59593-236-4 [contents] - 2005
- [j15]Bernard Mangold, Mike Dooley, Gary William Flake, Havi Hoffman, Tejaswi Kasturi, David M. Pennock, Rael Dornfest:
The Tech Buzz Game. Computer 38(7): 94-97 (2005) - [j14]David M. Pennock, Michael P. Wellman:
Graphical Models for Groups: Belief Aggregation and Risk Sharing. Decis. Anal. 2(3): 148-164 (2005) - [j13]Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman:
Betting Boolean-style: a framework for trading in securities based on logical formulas. Decis. Support Syst. 39(1): 87-104 (2005) - [j12]Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock:
CROC: A New Evaluation Criterion for Recommender Systems. Electron. Commer. Res. 5(1): 51-74 (2005) - [j11]Joan Feigenbaum, Lance Fortnow, David M. Pennock, Rahul Sami:
Computation in a distributed information market. Theor. Comput. Sci. 343(1-2): 114-132 (2005) - [c39]Yiling Chen, Chao-Hsien Chu, Tracy Mullen, David M. Pennock:
Information markets vs. opinion pools: an empirical comparison. EC 2005: 58-67 - 2004
- [j10]David M. Pennock:
The Eudaemonic Pie: A Review. AI Mag. 25(2): 125-128 (2004) - [j9]Emile Servan-Schreiber, Justin Wolfers, David M. Pennock, Brian Galebach:
Prediction Markets: Does Money Matter? Electron. Mark. 14(3): 243-251 (2004) - [j8]Dmitry Pavlov, Eren Manavoglu, David M. Pennock, C. Lee Giles:
Collaborative Filtering with Maximum Entropy. IEEE Intell. Syst. 19(6): 40-48 (2004) - [j7]David M. Pennock:
Conference report: the fifth ACM conference on electronic commerce. SIGecom Exch. 5(1): 48-56 (2004) - [j6]Seung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz:
Analysis of lexical signatures for improving information persistence on the World Wide Web. ACM Trans. Inf. Syst. 22(4): 540-572 (2004) - [c38]Arnaud De Bruyn, C. Lee Giles, David M. Pennock:
Offering Collaborative-Like Recommendations When Data Is Sparse: The Case of Attraction-Weighted Information Filtering.. AH 2004: 393-396 - [c37]Seung-Taek Park, David M. Pennock, C. Lee Giles:
Comparing static and dynamic measurements and models of the Internet's AS topology. INFOCOM 2004: 1616-1627 - [c36]Omid Madani, David M. Pennock, Gary William Flake:
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms. NIPS 2004: 873-880 - [c35]Juan Feng, Hemant K. Bhargava, David M. Pennock:
Computational Evaluation of Alternative Paid Placement Mechanisms in Search Engines. PACIS 2004: 144 - [c34]David M. Pennock:
A dynamic pari-mutuel market for hedging, wagering, and information aggregation. EC 2004: 170-179 - 2003
- [j5]Steffen Staab, Francis Heylighen, Carlos Gershenson, Gary William Flake, David M. Pennock, Daniel C. Fain, David De Roure, Karl Aberer, Wei-Min Shen, Olivier Dousse, Patrick Thiran:
Neurons, Viscose Fluids, Freshwater Polyp Hydra-and Self-Organizing Information Systems. IEEE Intell. Syst. 18(4): 72-86 (2003) - [c33]Juan Feng, Hemant K. Bhargava, David M. Pennock:
Comparison of allocation rules for paid placement advertising in search engines. ICEC 2003: 294-299 - [c32]Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock:
Statistical Relational Learning for Document Mining. ICDM 2003: 275-282 - [c31]Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar:
Mixtures of Conditional Maximum Entropy Models. ICML 2003: 584-591 - [c30]Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar:
Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. INFOCOM 2003: 2144-2154 - [c29]Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman:
Betting boolean-style: a framework for trading in securities based on logical formulas. EC 2003: 144-155 - [c28]Joan Feigenbaum, Lance Fortnow, David M. Pennock, Rahul Sami:
Computation in a distributed information market. EC 2003: 156-165 - [c27]Sandip Debnath, David M. Pennock, C. Lee Giles, Steve Lawrence:
Information incorporation in online in-Game sports betting markets. EC 2003: 258-259 - [c26]Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence:
1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?". UAI 2003: 337-345 - [c25]Kushal Dave, Steve Lawrence, David M. Pennock:
Mining the peanut gallery: opinion extraction and semantic classification of product reviews. WWW 2003: 519-528 - 2002
- [j4]David M. Pennock, Gary William Flake, Steve Lawrence, Eric J. Glover, C. Lee Giles:
Winners don't take all: Characterizing the competition for links on the web. Proc. Natl. Acad. Sci. USA 99(8): 5207-5211 (2002) - [c24]Eric J. Glover, David M. Pennock, Steve Lawrence, Robert Krovetz:
Inferring hierarchical descriptions. CIKM 2002: 507-514 - [c23]Dmitry Pavlov, David M. Pennock:
A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains. NIPS 2002: 1441-1448 - [c22]Seung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz:
Analysis of lexical signatures for finding lost or related documents. SIGIR 2002: 11-18 - [c21]Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock:
Methods and metrics for cold-start recommendations. SIGIR 2002: 253-260 - [c20]David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles:
Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events. UAI 2002: 405-413 - [c19]Dan Cosley, Steve Lawrence, David M. Pennock:
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex. VLDB 2002: 35-46 - [c18]Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock:
The structure of broad topics on the web. WWW 2002: 251-262 - [c17]Eric J. Glover, Kostas Tsioutsiouliklis, Steve Lawrence, David M. Pennock, Gary William Flake:
Using web structure for classifying and describing web pages. WWW 2002: 562-569 - [i1]Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock:
The structure of broad topics on the Web. CoRR cs.IR/0203024 (2002) - 2001
- [j3]Steve Lawrence, David M. Pennock, Gary William Flake, Robert Krovetz, Frans Coetzee, Eric J. Glover, Finn Årup Nielsen, Andries Kruger, C. Lee Giles:
Persistence of Web References in Scientific Research. Computer 34(2): 26-31 (2001) - [j2]David M. Pennock:
Conference report: the second ACM conference on electronic commerce. SIGecom Exch. 2(1): 33-38 (2001) - [c16]David M. Pennock, Steve Lawrence, Finn Årup Nielsen, C. Lee Giles:
Extracting collective probabilistic forecasts from web games. KDD 2001: 174-183 - [c15]Eric J. Glover, Gary William Flake, Steve Lawrence, William P. Birmingham, Andries Kruger, C. Lee Giles, David M. Pennock:
Improving Category Specific Web Search by Learning Query Modifications. SAINT 2001: 23- - [c14]Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence:
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI 2001: 437-444 - 2000
- [c13]David M. Pennock, Eric Horvitz, C. Lee Giles:
Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering. AAAI/IAAI 2000: 729-734 - [c12]Steve Lawrence, Frans Coetzee, Gary William Flake, David M. Pennock, Robert Krovetz, Finn Årup Nielsen, Andries Kruger, C. Lee Giles:
Persistence of information on the web: Analyzing citations contained in research articles. CIKM 2000: 235-242 - [c11]David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles, Eric Horvitz:
A Normative Examination of Ensemble Learning Algorithms. ICML 2000: 735-742 - [c10]David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles:
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach. UAI 2000: 473-480 - [c9]David M. Pennock, Michael P. Wellman:
Compact Securities Markets for Pareto Optimal Reallocation of Risk. UAI 2000: 481-488
1990 – 1999
- 1999
- [b1]David M. Pennock:
Aggregating probabilistic beliefs: Market mechanisms and graphical representations. University of Michigan, USA, 1999 - [c8]David M. Pennock, Michael P. Wellman:
Graphical Representations of Consensus Belief. UAI 1999: 531-540 - 1998
- [c7]David M. Pennock:
Logarithmic Time Parallel Bayesian Inference. UAI 1998: 431-438 - 1997
- [c6]David M. Pennock, Michael P. Wellman:
Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. UAI 1997: 392-400 - 1996
- [j1]Christopher Connelly, Alan W. Biermann, David M. Pennock, Peter Wu:
Home Study Software: Complementary Systems for Computer Science Courses. Comput. Sci. Educ. 7(1): 53-71 (1996) - [c5]David M. Pennock, Quentin F. Stout:
Exploiting a Theory of Phase Transitions in Three-Satisfiability Problems. AAAI/IAAI, Vol. 1 1996: 253-258 - [c4]David M. Pennock:
MarketBayes: A Distributed, Market-Based Bayesian Network. AAAI/IAAI, Vol. 2 1996: 1402 - [c3]Christopher Connelly, Alan W. Biermann, David M. Pennock, Peter Wu:
Home-study software: flexible, interactive, and distributed software for independent study. SIGCSE 1996: 63-67 - [c2]David M. Pennock, Michael P. Wellman:
Toward a Market Model for Bayesian Inference. UAI 1996: 405-413 - 1994
- [c1]Alan W. Biermann, Amr F. Fahmy, Curry I. Guinn, David M. Pennock, Dietolf Ramm, Peter Wu:
Teaching a hierarchical model of computation with animation software in the first course. SIGCSE 1994: 295-299
Coauthor Index
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