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)

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)

Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays

von Mishchenko, Konstantin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 1 of 50 (2023)

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)

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)