Tighter Analysis of Alternating Stochastic Gradient Method for
Stochastic Nested Problems

Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems

25 June 2021

Tianyi Chen

Papers citing "Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems"

9 / 9 papers shown

Title
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms Minghao Yang Xiyuan Wei Tianbao Yang Yiming Ying 32 1 0 07 Jul 2023
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks Zhuqing Liu Xin Zhang Prashant Khanduri Songtao Lu Jia Liu 24 11 0 27 Jul 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 32 42 0 22 Jun 2022
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences Han Shen Tianyi Chen 30 15 0 21 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization Quanqi Hu Yongjian Zhong Tianbao Yang 25 16 0 01 Jun 2022
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 44 81 0 25 Aug 2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 88 145 0 04 May 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017