Invited Speakers
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Courtney Paquette University of Waterloo Stochastic Optimization |
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Jelena Diakonikolas University of California, Berkeley Convex Optimization |
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Yin Tat Lee University of Washington Convex Geometry and Sampling |
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Kevin Jamieson University of Washington Multi-Armed Bandits |
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Rebecca Willett University of Chicago Computational Imaging |
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Sewoong Oh University of Washington Theoretical Challenges in Training Deep Generative Models |
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Moritz Hardt University of California, Berkeley Fairness in Machine Learning |
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Alekh Agarwal Microsoft Research AI Reinforcement Learning |
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Rob Nowak University of Wisconsin, Madison Statistical Learning Theory and Active Machine Learning |
