Poster

Thu 14:00

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

Poster

Thu 14:00

Error Correction Code Transformer
Yoni Choukroun · Lior Wolf

Poster

Tue 9:00

Cryptographic Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi · Lisheng Ren

Workshop

Learning Controllable Adaptive Simulation for Multi-scale Physics
Tailin Wu · Takashi Maruyama · Qingqing Zhao · Gordon Wetzstein · Jure Leskovec

Poster

Tue 14:00

Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz · Song Mei

Poster

Tue 9:00

Generalization Error Bounds on Deep Learning with Markov Datasets
Lan V. Truong

Workshop

Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors
Bilal Thonnam Thodi · Sai Venkata Ramana Ambadipudi · Saif Eddin Jabari

Poster

Wed 9:00

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying

Poster

Tue 9:00

Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
Samarth Gupta · Saurabh Amin

Poster

Tue 9:00

Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran · Romain Chor · Abdellatif Zaidi

Poster

Thu 9:00

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

Poster

Thu 14:00

Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra