FINE-GRAINED ANALYSIS OF STABILITY AND GENERALIZATION FOR STOCHASTIC GRADIENT DESCENT

von Lei, Yunwen
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

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

Generalization Guarantee of SGD for Pairwise Learning

von Lei, Yunwen
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

SHARPER GENERALIZATION BOUNDS FOR PAIRWISE LEARNING

von Lei, Yunwen
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

On the Generalization Analysis of Adversarial Learning

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

A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks

von Liu, Mingrui
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 34 of 50 (2023)

STABILITY AND GENERALIZATION OF STOCHASTIC GRADIENT METHODS FOR MINIMAX PROBLEMS

von LEI, YUNWEN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

Fine-grained Generalization Analysis of Inductive Matrix Completion

von Ledent, Antoine
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 31 of 36 (2022)

OPTIMAL STOCHASTIC AND ONLINE LEARNING WITH INDIVIDUAL ITERATES

von Lei, Yunwen
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

Stability and Generalization for Markov Chain Stochastic Gradient Methods

von Wang, Puyu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 49 of 50 (2023)

Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning

von YANG, ZHENHUAN
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 24 of 36 (2022)