Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data

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

Improved complexities for stochastic conditional gradient methods under interpolation-like conditions

von Xiao, Tesi
Veröffentlicht in Operations research letters (2022)

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization

von Xiao, Tesi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 26 of 50 (2023)

On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method

von He, Ye
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

On Empirical Risk Minimization with Dependent and Heavy-Tailed Data

von Roy, Abhishek
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

ESCAPING SADDLE-POINT FASTER UNDER INTERPOLATION-LIKE CONDITIONS

von Roy, Abhishek
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias

von Yu, Lu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)