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个人简介
My core research interest is in machine learning for interactive systems that maximizes a utility function by taking actions, which is in contrast to prediction-oriented machine learning like supervised learning. My area of focus is reinforcement learning, including the important subclass known as contextual bandits; I am also interested in related areas such as large-scale online learning with big data, active learning, and planning. In the past, I have applied my work to recommendation, Web search, advertising, and conversational systems.
研究兴趣
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arXiv (Cornell University) (2023)
CoRR (2023)
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Sixteenth ACM Conference on Recommender Systemspp.516-518, (2022)
ICML (2021): 11362-11371
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user-5d4bc4a8530c70a9b361c870(2021)
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