基本信息
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职业迁徙
个人简介
Research
I study topics in Machine Learning, Deep Learning and AI, with a current emphasis on:
Reinforcement Learning & Bandits, including aspects of offline RL, counterfactual estimation and imitation learning.
Stochastic Gradient Methods/Stochastic Approximation for large-scale Machine Learning and Deep Learning.
I consider issues in these topics with applications to Human-facing systems including recommendation systems and robotics.
I study topics in Machine Learning, Deep Learning and AI, with a current emphasis on:
Reinforcement Learning & Bandits, including aspects of offline RL, counterfactual estimation and imitation learning.
Stochastic Gradient Methods/Stochastic Approximation for large-scale Machine Learning and Deep Learning.
I consider issues in these topics with applications to Human-facing systems including recommendation systems and robotics.
研究兴趣
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ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019) (2019): 14951-14962
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user-5f165ac04c775ed682f5819f(2019)
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