A Single-Timescale Analysis For Stochastic Approximation With Multiple
Coupled Sequences

A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences

21 June 2022

Tianyi Chen

Papers citing "A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences"

17 / 17 papers shown

Title
On Penalty-based Bilevel Gradient Descent Method Han Shen Quan-Wu Xiao Tianyi Chen 60 51 0 08 Jan 2025
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications Yue Huang Zhaoxian Wu Shiqian Ma Qing Ling 31 1 0 17 Oct 2024
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection Han Shen Pin-Yu Chen Payel Das Tianyi Chen ALM 26 11 0 09 Oct 2024
Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation Yanjie Dong Haijun Zhang Gang Wang Shisheng Cui Xiping Hu 43 1 0 13 Aug 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints Liuyuan Jiang Quan-Wu Xiao Victor M. Tenorio Fernando Real-Rojas Antonio G. Marques Tianyi Chen 48 1 0 14 Jun 2024
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning Sihan Zeng Thinh T. Doan 54 5 0 15 May 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF Han Shen Zhuoran Yang Tianyi Chen OffRL 40 14 0 10 Feb 2024
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation Prashansa Panda Shalabh Bhatnagar 30 1 0 02 Feb 2024
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 26 0 0 02 Jun 2023
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization Quan-Wu Xiao Han Shen W. Yin Tianyi Chen 16 8 0 14 Nov 2022
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou Pierre Ablin Samuel Vaiter Thomas Moreau 139 96 0 31 Jan 2022
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 90 146 0 04 May 2020
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 102 79 0 18 Oct 2019
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation Gang Wang Bingcong Li G. Giannakis 21 28 0 10 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017