<h1>Mazumdar, Eric</h1> <h2>Article from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2> <ul> <li>Xu, Pan and Zheng, Hongkai, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-212437915">Langevin Monte Carlo for Contextual Bandits</a>; Proceedings of Machine Learning Research; Vol. 162; 24830-24850; <a href="https://doi.org/10.48550/arXiv.arXiv.2206.11254">10.48550/arXiv.arXiv.2206.11254</a></li> <li>Chasnov, Benjamin and Ratliff, Lillian, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210907-195235166">Convergence Analysis of Gradient-Based Learning in Continuous Games</a>; Proceedings of Machine Learning Research; Vol. 115; 935-944</li> <li>Ratliff, Lillian J. and Mazumdar, Eric (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210903-222215724">Inverse Risk-Sensitive Reinforcement Learning</a>; IEEE Transactions on Automatic Control; Vol. 65; No. 3; 1256-1263; <a href="https://doi.org/10.1109/TAC.2019.2926674">10.1109/TAC.2019.2926674</a></li> <li>Mazumdar, Eric and Ratliff, Lillian J., el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210907-200115513">On Gradient-Based Learning in Continuous Games</a>; SIAM Journal on Mathematics of Data Science; Vol. 2; No. 1; 103-131; <a href="https://doi.org/10.1137/18m1231298">10.1137/18m1231298</a></li> </ul>