基本信息
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职业迁徙
个人简介
I co-organize the Smooth games optimization and ML workshop series at NeurIPS. The opening remarks video from last year gives a nice summary of our motivation for this line of work.
In Montreal, I co-organize MTL MLOpt, a bi-weekly meeting of optimization experts from Mila, UdeM, McGill (CS and math), Google Brain, SAIL, FAIR, MSR, etc.
Every fall, I teach ML to 200 grad students. Every winter, I teach an advanced research class on deep learning theory.
Before joining the University of Montreal, I was a postdoc with the Departments of Computer Science and Statistics at Stanford University working with Chris Ré and Lester Mackey. I got my PhD at The University of Texas at Austin with Constantine Caramanis and Sriram Vishwanath, where I also worked with Alex Dimakis.
In Montreal, I co-organize MTL MLOpt, a bi-weekly meeting of optimization experts from Mila, UdeM, McGill (CS and math), Google Brain, SAIL, FAIR, MSR, etc.
Every fall, I teach ML to 200 grad students. Every winter, I teach an advanced research class on deep learning theory.
Before joining the University of Montreal, I was a postdoc with the Departments of Computer Science and Statistics at Stanford University working with Chris Ré and Lester Mackey. I got my PhD at The University of Texas at Austin with Constantine Caramanis and Sriram Vishwanath, where I also worked with Alex Dimakis.
研究兴趣
论文共 79 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2023): 11079-11093
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ICML 2023pp.18171-18206, (2023)
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Conference on Causal Learning and Reasoning (CLeaR) (2022): 19-43
semanticscholar(2022)
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