基本信息
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职业迁徙
个人简介
The goal of my research is to seek better understanding and develop computationally and provably efficient learning and decision-making methods in modern practical settings of machine learning. My research interest lies at the intersection of machine learning with statistics and optimization (Statistical Learning and Optimization Lab - SLOpt Lab).
Research areas: reinforcement learning (including bandits and online learning); overparameterized neural networks; adversarial robust learning; learning in strategic environments (e.g. MARL); stochastic optimization (large-scale, non-convex), and their applications.
研究兴趣
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NeurIPS (2023)
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CVPR 2023pp.24162-24171, (2023)
PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2023 (2023): 124-132
CoRR (2023)
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