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Aaditya Ramdas

Associate Professor · Department of Statistics

Stanford University · United States
game-theoretic statistics post-selection inference machine learning

简介

I work on "practical theory", meaning that the vast majority of my papers are about designing theoretically principled algorithms that directly solve practical problems and are usually based on simple, aesthetically elegant (in my opinion) ideas. A theoretician's goal is not to prove theorems, just as a writer's goal is not to write sentences. My goals are to improve my own (and eventually the field's) understanding of important problems, design creative algorithms for unsolved questions, and figure out when and why they work (or don't)–and often simply to ask an intriguing question that has not yet been asked.

数据校验于 9/6/2026数据来源

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