Mazumdar, Eric
- Chen, Zaiwei and Zhang, Kaiqing, et el. (2023) A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
- Hardt, Moritz and Mazumdar, Eric, et el. (2023) Algorithmic Collective Action in Machine Learning
- Maheshwari, Chinmay and Sasty, S. Shankar, et el. (2023) Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games
- Badithela, Apurva and Graebener, Josefine B., et el. (2022) Synthesizing Reactive Test Environments for Autonomous Systems: Testing Reach-Avoid Specifications with Multi-Commodity Flows; 10.48550/arXiv.2210.10304
- Zrnic, Tijana and Mazumdar, Eric (2022) A Note on Zeroth-Order Optimization on the Simplex; 10.48550/arXiv.2208.01185
- Maheshwari, Chinmay and Mazumdar, Eric, et el. (2022) Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets; 10.48550/arXiv.arXiv.2206.02344
- Chasnov, Benjamin and Ratliff, Lillian J., et el. (2021) Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings; 10.48550/arXiv.1906.00731
- Maheshwari, Chinmay and Chiu, Chih-Yuan, et el. (2021) Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization; 10.48550/arXiv.2106.09082
- Mazumdar, Eric and Ratliff, Lillian J., et el. (2021) Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games; 10.48550/arXiv.1907.03712
- Zrnic, Tijana and Mazumdar, Eric, et el. (2021) Who Leads and Who Follows in Strategic Classification?; 10.48550/arXiv.2106.12529
- Yu, Yaodong and Lin, Tianyi, et el. (2021) Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization; 10.48550/arXiv.2104.13326
- Mazumdar, Eric and Pacchiano, Aldo, et el. (2021) On Thompson Sampling with Langevin Algorithms; 10.48550/arXiv.2002.10002
- Dong, Roy and Mazumdar, Eric, et el. (2021) Optimal Causal Imputation for Control; 10.48550/arXiv.1703.07049
- Mazumdar, Eric and Jordan, Michael I., et el. (2019) On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games; 10.48550/arXiv.1901.00838
- Mazumdar, Eric and Dong, Roy, et el. (2017) A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes; 10.48550/arXiv.1707.05714