MAKING TRANSPORT MORE ROBUST AND INTERPRETABLE BY MOVING DATA THROUGH A SMALL NUMBER OF ANCHOR POINTS

von LIN, CHI-HENG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

A MODULAR ANALYSIS OF PROVABLE ACCELERATION VIA POLYAK'S MOMENTUM: TRAINING A WIDE RELU NETWORK AND A DEEP LINEAR NETWORK

von WANG, JUN-KUN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 14 of 16 (2022)

BAYESIAN OPTIMIZATION FOR MODULAR BLACK-BOX SYSTEMS WITH SWITCHING COSTS

von Lin, Chi-Heng
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)

Provable Acceleration of Heavy Ball Beyond Quadratics for a Class of Polyak-Lojasiewicz Functions When the Non-Convexity is Averaged-Out

von Wang, Jun-Kun
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 28 of 33 (2023)

Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity

von Liu, Ran
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 13 of 36 (2022)