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Poster
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
Poster
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
Poster
Fri 11:00 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
Poster
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
Poster
Thu 16:30 Accelerating ERM for data-driven algorithm design using output-sensitive techniques
Maria-Florina Balcan · Christopher Seiler · Dravyansh Sharma
Session
Tue 13:00 Charting the Shapes of Stories with Game Theory
Constantinos Daskalakis · Renato Leme · Ian Gemp · Yanchen Jiang · Georgios Piliouras · Christos Papadimitriou
Thu 19:30 Learning Theory Alliance
Surbhi Goel · Nika Haghtalab · Gautam Kamath · Thodoris Lykouris · Vatsal Sharan · Ellen Vitercik · Lydia Zakynthinou
Session
Wed 10:00 Overflow for Oral Session 1D: Learning Theory
Session
Wed 10:00 Overflow for Oral Session 1C: Optimization and Learning Theory
Oral Session
Wed 10:00 Oral Session 1D: Learning Theory
Affinity Event
Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI
Gopinaath Kannabiran · Sacha Knox
Poster
Wed 16:30 Online Estimation via Offline Estimation: An Information-Theoretic Framework
Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin