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Poster
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Tue 14:00
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On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran · Gal Vardi · Jason Lee
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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Poster
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Thu 14:00
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First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael Jordan · Tianyi Lin · Emmanouil-Vasileios Vlatakis-Gkaragkounis
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Poster
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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Poster
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Wed 9:00
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Distributionally Robust Optimization via Ball Oracle Acceleration
Yair Carmon · Danielle Hausler
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Poster
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Wed 14:00
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
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Poster
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Thu 14:00
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Fair Rank Aggregation
Diptarka Chakraborty · Syamantak Das · Arindam Khan · Aditya Subramanian
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Poster
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Thu 9:00
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Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras · Ryann Sim · Stratis Skoulakis
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Poster
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Tue 9:00
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Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
Zhihan Xiong · Ruoqi Shen · Qiwen Cui · Maryam Fazel · Simon Du
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Poster
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Thu 14:00
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Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
Eshaan Nichani · Yu Bai · Jason Lee
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Poster
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Tue 14:00
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Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann · Enrique Fita Sanmartín · Fred Hamprecht
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Poster
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Tue 9:00
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From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan
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