Zeyu Jia
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Zeyu Jia (贾泽宇) |
About Me
I am a PhD candidate at Department of EECS at MIT. I am extremely fortunate to be advised by Yury Polyanskiy and Alexander Rakhlin. I am also a member of Laboratory for Information and Decision System (LIDS) at MIT. Prior to that, I did my undergraduate at Peking University, School of Mathematical Science, advised by Zaiwen Wen.
My research interests include machine learning theory especially reinforcement learning theory, optimization and information theory.
News
(2025.05) Our paper On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy is accepted by COLT 2025
(2025.05) Our paper Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective is accepted by ICML 2025
(2024.09) Our paper How Does Variance Shape the Regret in Contextual Bandits? is accepted by NeurIPS 2024