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Dylan Foster is a machine learning and decision making expert who works at Microsoft Research, New England and New York City. He has published several papers on topics such as reinforcement learning, contextual bandits, and statistical learning, and received multiple awards and fellowships.
- Bridging Learning and Decision Making - Dylan Foster
This tutorial will give an overview of the theoretical...
- Bridging Learning and Decision Making - Dylan Foster
Dylan J. Foster. Principal Researcher, Microsoft Research. Verified email at microsoft.com - Homepage. Machine Learning Optimization Statistics Reinforcement Learning Deep Learning. Articles...
Dylan Foster is a principal researcher at Microsoft Research, New England, who works on problems at the intersection of machine learning and decision making. He has a PhD from Cornell University and a postdoc from MIT, and his research focuses on reinforcement learning and algorithmic principles.
Dylan Foster is a postdoctoral fellow at MIT Institute for Data, Systems, and Society, working on online machine learning, reinforcement learning, and optimization. He has published several papers on these topics, including best paper and student paper awards at COLT and ICML.
Dylan Foster is a Senior Researcher at Microsoft Research, New England, and a former postdoctoral fellow at MIT. His research focuses on theory for machine learning in real-world settings, especially generalization, interactive learning, and deep learning.
12. Feb. 2020 · Dylan J. Foster, Alexander Rakhlin. A fundamental challenge in contextual bandits is to develop flexible, general-purpose algorithms with computational requirements no worse than classical supervised learning tasks such as classification and regression.
