基本信息
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职业迁徙
个人简介
My interests include online learning, optimization (both convex and non-convex), adaptive data analysis, and transfer learning. Lately, I've been using ideas from convex optimization and bandits to develop algorithms to correct for distribution shift. I've recently discovered that convex optimization and continuous-armed bandit setups provide a really useful framework for studying covariate shift (and its generalizations), and believe that optimization and online learning will provide useful approaches to studying and designing algorithms with theoretical guarantees for a wide range of problems in transfer learning.
研究兴趣
论文共 8 篇作者统计合作学者相似作者
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arXiv (Cornell University) (2022)
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D-Core
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