<h1>Mazumdar, Eric</h1>
<h2>Monograph from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Chen, Zaiwei and Zhang, Kaiqing, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204015123">A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games</a></li>
<li>Hardt, Moritz and Mazumdar, Eric, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204028845">Algorithmic Collective Action in Machine Learning</a></li>
<li>Maheshwari, Chinmay and Sasty, S. Shankar, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204025426">Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games</a></li>
<li>Badithela, Apurva and Graebener, Josefine B., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221219-234102223">Synthesizing Reactive Test Environments for Autonomous Systems: Testing Reach-Avoid Specifications with Multi-Commodity Flows</a>; <a href="https://doi.org/10.48550/arXiv.2210.10304">10.48550/arXiv.2210.10304</a></li>
<li>Zrnic, Tijana and Mazumdar, Eric (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221220-221907545">A Note on Zeroth-Order Optimization on the Simplex</a>; <a href="https://doi.org/10.48550/arXiv.2208.01185">10.48550/arXiv.2208.01185</a></li>
<li>Maheshwari, Chinmay and Mazumdar, Eric, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220715-171641949">Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2206.02344">10.48550/arXiv.arXiv.2206.02344</a></li>
<li>Zrnic, Tijana and Mazumdar, Eric, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213717702">Who Leads and Who Follows in Strategic Classification?</a>; <a href="https://doi.org/10.48550/arXiv.2106.12529">10.48550/arXiv.2106.12529</a></li>
<li>Maheshwari, Chinmay and Chiu, Chih-Yuan, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213714292">Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization</a>; <a href="https://doi.org/10.48550/arXiv.2106.09082">10.48550/arXiv.2106.09082</a></li>
<li>Yu, Yaodong and Lin, Tianyi, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213710817">Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization</a>; <a href="https://doi.org/10.48550/arXiv.2104.13326">10.48550/arXiv.2104.13326</a></li>
<li>Mazumdar, Eric and Pacchiano, Aldo, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-220351518">On Thompson Sampling with Langevin Algorithms</a>; <a href="https://doi.org/10.48550/arXiv.2002.10002">10.48550/arXiv.2002.10002</a></li>
<li>Mazumdar, Eric and Ratliff, Lillian J., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213700306">Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games</a>; <a href="https://doi.org/10.48550/arXiv.1907.03712">10.48550/arXiv.1907.03712</a></li>
<li>Chasnov, Benjamin and Ratliff, Lillian J., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213656891">Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings</a>; <a href="https://doi.org/10.48550/arXiv.1906.00731">10.48550/arXiv.1906.00731</a></li>
<li>Mazumdar, Eric and Jordan, Michael I., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213653378">On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games</a>; <a href="https://doi.org/10.48550/arXiv.1901.00838">10.48550/arXiv.1901.00838</a></li>
<li>Mazumdar, Eric and Dong, Roy, el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213649911">A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes</a>; <a href="https://doi.org/10.48550/arXiv.1707.05714">10.48550/arXiv.1707.05714</a></li>
<li>Dong, Roy and Mazumdar, Eric, el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-213646411">Optimal Causal Imputation for Control</a>; <a href="https://doi.org/10.48550/arXiv.1703.07049">10.48550/arXiv.1703.07049</a></li>
</ul>