THEORETICAL LIMITS OF PIPELINE PARALLEL OPTIMIZATION AND APPLICATION TO DISTRIBUTED DEEP LEARNING

von Colin, Igor
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

A SIMPLE AND EFFICIENT SMOOTHING METHOD FOR FASTER OPTIMIZATION AND LOCAL EXPLORATION

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

BEST ARM IDENTIFICATION IN GRAPHICAL BILINEAR BANDITS

von RIZK, GEOVANI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

An α-No-Regret-No-Regret Algorithm For Graphical Bilinear Bandits

von Rizk, Geovani
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

Deciphering Lasso-Based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm

von Tiomoko, Malik
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 26 of 33 (2023)