An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning

von Woodworth, Blake E
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Representation Costs of Linear Neural Networks: Analysis and Design

von Dai, Zhen
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 32 of 36 (2022)

FAST MARGIN MAXIMIZATION VIA DUAL ACCELERATION

von JI, ZIWEI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

FAIR LEARNING WITH PRIVATE DEMOGRAPHIC DATA

von Mozannar, Hussein
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 10 of 15 (2021)

QUANTIFYING THE BENEFIT OF USING DIFFERENTIABLE LEARNING OVER TANGENT KERNELS

von MALACH, ERAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

DROPOUT: EXPLICIT FORMS AND CAPACITY CONTROL

von ARORA, RAMAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

EFFICIENTLY LEARNING ADVERSARIALLY ROBUST HALFSPACES WITH NOISE

von Montasser, Omar
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (2021)

Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting

von Koehler, Frederic
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

Implicit Bias of the Step Size in Linear Diagonal Neural Networks

von Nacson, Mor Shpigel
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)

On the Power of Differentiable Learning versus PAC and SQ Learning

von Abbe, Emmanuel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 29 of 36 (2022)

A Stochastic Newton Algorithm for Distributed Convex Optimization

von Bullins, Brian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 32 of 36 (2022)

ON THE IMPLICIT BIAS OF INITIALIZATION SHAPE: BEYOND INFINITESIMAL MIRROR DESCENT

von AZULAY, SHAHAR
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)