ICLR 2023

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187 Results

Poster		Agnostic Learning of General ReLU Activation Using Gradient Descent Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
Poster		Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu · Dimitris Samaras · Chao Chen
Poster	Tue 2:30	Tuning Frequency Bias in Neural Network Training with Nonuniform Data Annan Yu · Yunan Yang · Alex Townsend
Poster		Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation Thanh Steve Lam · Arun Verma · Bryan Kian Hsiang Low · Patrick Jaillet
Poster	Tue 2:30	Fundamental limits on the robustness of image classifiers Zheng Dai · David Gifford
Poster	Mon 7:30	Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics Taiji Suzuki · Atsushi Nitanda · Denny Wu
Poster	Wed 7:30	Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods Akiyama Shunta · Taiji Suzuki
Poster	Tue 2:30	Long-Tailed Learning Requires Feature Learning Thomas Laurent · James von Brecht · Xavier Bresson
Poster	Tue 2:30	Mini-batch $k$ -means terminates within $O(d/\epsilon)$ iterations Gregory Schwartzman
Poster	Mon 2:30	Contextual bandits with concave rewards, and an application to fair ranking Virginie Do · Elvis Dohmatob · Matteo Pirotta · Alessandro Lazaric · Nicolas Usunier
Poster		A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen · Chris Junchi Li · Angela Yuan · Quanquan Gu · Michael Jordan
Poster		Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence Margalit Glasgow · Colin Wei · Mary Wootters · Tengyu Ma