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521 Results
Poster
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Wed 11:00 |
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization Yuhang Cai · Jingfeng Wu · Song Mei · Michael Lindsey · Peter Bartlett |
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Poster
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Wed 16:30 |
Contracting with a Learning Agent Guru Guruganesh · Yoav Kolumbus · Jon Schneider · Inbal Talgam-Cohen · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Joshua Wang · S. Weinberg |
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Poster
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Fri 11:00 |
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt |
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Poster
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Thu 11:00 |
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability Fan Chen · Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin · Yunbei Xu |
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Poster
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Thu 16:30 |
Accelerating ERM for data-driven algorithm design using output-sensitive techniques Maria-Florina Balcan · Christopher Seiler · Dravyansh Sharma |
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Session
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Tue 13:00 |
Charting the Shapes of Stories with Game Theory Constantinos Daskalakis · Renato Leme · Ian Gemp · Yanchen Jiang · Georgios Piliouras · Christos Papadimitriou |
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Thu 19:30 |
Learning Theory Alliance Surbhi Goel · Nika Haghtalab · Gautam Kamath · Thodoris Lykouris · Vatsal Sharan · Ellen Vitercik · Lydia Zakynthinou |
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Session
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Wed 10:00 |
Overflow for Oral Session 1D: Learning Theory |
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Session
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Wed 10:00 |
Overflow for Oral Session 1C: Optimization and Learning Theory |
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Oral Session
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Wed 10:00 |
Oral Session 1D: Learning Theory |
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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI Gopinaath Kannabiran · Sacha Knox |
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Poster
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Wed 16:30 |
Online Estimation via Offline Estimation: An Information-Theoretic Framework Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin |