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Poster
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Thu 14:00
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The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
Yunhao Tang · Remi Munos · Mark Rowland · Bernardo Avila Pires · Will Dabney · Marc Bellemare
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Poster
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Thu 14:00
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Error Correction Code Transformer
Yoni Choukroun · Lior Wolf
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Poster
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Tue 9:00
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Cryptographic Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi · Lisheng Ren
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Workshop
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Learning Controllable Adaptive Simulation for Multi-scale Physics
Tailin Wu · Takashi Maruyama · Qingqing Zhao · Gordon Wetzstein · Jure Leskovec
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Poster
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Tue 9:00
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Generalization Error Bounds on Deep Learning with Markov Datasets
Lan V. Truong
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Poster
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Tue 14:00
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Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz · Song Mei
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Workshop
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Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors
Bilal Thonnam Thodi · Sai Venkata Ramana Ambadipudi · Saif Eddin Jabari
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Poster
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Tue 9:00
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Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
Samarth Gupta · Saurabh Amin
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Poster
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Tue 9:00
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Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran · Romain Chor · Abdellatif Zaidi
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Poster
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Thu 9:00
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A Universal Error Measure for Input Predictions Applied to Online Graph Problems
Giulia Bernardini · Alexander Lindermayr · Alberto Marchetti-Spaccamela · Nicole Megow · Leen Stougie · Michelle Sweering
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Poster
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Thu 14:00
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Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
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