Pessimism for Offline Linear Contextual Bandits using ℓp Confidence Sets

von Li, Gene
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 27 of 50 (2023)

REDUCING ADVERSARIALLY ROBUST LEARNING TO NON-ROBUST PAC LEARNING

von Montasser, Omar
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 18 of 27 (2021)

Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization

von Amir, Idan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

The Sample Complexity of One-Hidden-Layer Neural Networks

von Vardi, Gal
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

On Margin Maximization in Linear and ReLU Networks

von Vardi, Gal
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 48 of 50 (2023)

Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization

von Montasser, Omar
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 48 of 50 (2023)

On Uniform Convergence and Low-Norm Interpolation Learning

von Zhou, Lijia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

MINIBATCH VS LOCAL SGD FOR HETEROGENEOUS DISTRIBUTED LEARNING

von Woodworth, Blake E.
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)

Understanding the Eluder Dimension

von Li, Gene
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models

von Zhou, Lijia
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 28 of 50 (2023)

Exponential Family Model-Based Reinforcement Learning via Score Matching

von Li, Gene
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 37 of 50 (2023)

Towards Optimal Communication Complexity in Distributed Non-Convex Optimization

von Patel, Kumar Kshitij
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

IMPLICIT BIAS IN DEEP LINEAR CLASSIFICATION: INITIALIZATION SCALE VS TRAINING ACCURACY

von Moroshko, Edward
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 27 of 27 (2021)