CONTROL BATCH SIZE AND LEARNING RATE TO GENERALIZE WELL: THEORETICAL AND EMPIRICAL EVIDENCE

von He, Fengxiang
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)

TIGHTER GENERALIZATION BOUNDS FOR ITERATIVE DIFFERENTIALLY PRIVATE LEARNING ALGORITHMS

von He, Fengxiang
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)

Benefits of Permutation-Equivariance in Auction Mechanisms

von Qin, Tian
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

Topology-Aware Generalization of Decentralized SGD

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

When to Update Your Model: Constrained Model-based Reinforcement Learning

von Ji, Tianying
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 30 of 50 (2023)

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

von Yang, Kaiwen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)