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ORCIDAkshay Agrawal 0001
Person information
- affiliation: Stanford University, Department of Electrical Engineering, CA, USA
Other persons with the same name
- Akshay Agrawal — disambiguation page
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2020 – today
- 2023
[j8]Parth Nobel
, Akshay Agrawal, Stephen P. Boyd:
Computing tighter bounds on the n-queens constant via Newton's method. Optim. Lett. 17(5): 1229-1240 (2023)- [i10]Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd:
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR abs/2305.02573 (2023) - 2022
- [j7]Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd:
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6: 2653-2658 (2022) - [j6]Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia:
Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. 14(3): 593-622 (2022) - 2021
- [j5]Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. Found. Trends Mach. Learn. 14(3): 211-378 (2021) - [j4]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd:
Learning Convex Optimization Models. IEEE CAA J. Autom. Sinica 8(8): 1355-1364 (2021) - [c3]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP 2021: 521-537 - [i9]Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. CoRR abs/2103.02559 (2021) - [i8]Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia:
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR abs/2104.00282 (2021) - [i7]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR abs/2110.11927 (2021) - 2020
- [j3]Akshay Agrawal, Stephen P. Boyd:
Disciplined quasiconvex programming. Optim. Lett. 14(7): 1643-1657 (2020) - [c2]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. L4DC 2020: 361-373 - [i6]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd:
Learning Convex Optimization Models. CoRR abs/2006.04248 (2020)
2010 – 2019
- 2019
- [j2]Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined geometric programming. Optim. Lett. 13(5): 961-976 (2019) - [c1]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. NeurIPS 2019: 9558-9570 - [i5]Akshay Agrawal, Stephen P. Boyd:
Disciplined Quasiconvex Programming. CoRR abs/1905.00562 (2019) - [i4]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. CoRR abs/1910.12430 (2019) - [i3]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. CoRR abs/1912.09529 (2019) - 2018
- [j1]Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd:
A rewriting system for convex optimization problems. J. Control. Decis. 5(1): 42-60 (2018) - [i2]Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined Geometric Programming. CoRR abs/1812.04074 (2018) - 2017
- [i1]Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd:
A Rewriting System for Convex Optimization Problems. CoRR abs/1709.04494 (2017)
Coauthor Index
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