On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level

7 March 2023

Papers citing "On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level"

17 / 17 papers shown

Title
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization Feihu Huang 27 4 0 25 Jul 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 26 2 0 30 May 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy Risheng Liu Zhu Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 22 6 0 16 May 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm Wei-Ting Yao Chengming Yu Shangzhi Zeng Jin Zhang 8 13 0 29 Jan 2024
Adaptive Mirror Descent Bilevel Optimization Feihu Huang 15 1 0 08 Nov 2023
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation Jeongyeol Kwon Dohyun Kwon Steve Wright Robert D. Nowak 11 25 0 04 Sep 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem Jincheng Cao Ruichen Jiang Nazanin Abolfazli E. Y. Hamedani Aryan Mokhtari 77 7 0 15 Aug 2023
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback Souradip Chakraborty Amrit Singh Bedi Alec Koppel Dinesh Manocha Huazheng Wang Mengdi Wang Furong Huang 10 13 0 03 Aug 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions Xuxing Chen Tesi Xiao Krishnakumar Balasubramanian 14 24 0 21 Jun 2023
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition Quan-Wu Xiao Songtao Lu Tianyi Chen 6 2 0 04 Jun 2023
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems Junyi Li Feihu Huang Heng Huang FedML 14 6 0 13 Feb 2023
First-order penalty methods for bilevel optimization Zhaosong Lu Sanyou Mei 53 31 0 04 Jan 2023
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis Le‐Yu Chen Jing Xu J. Zhang 21 11 0 02 Jan 2023
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Mao Ye B. Liu S. Wright Peter Stone Qian Liu 66 82 0 19 Sep 2022
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou Pierre Ablin Samuel Vaiter Thomas Moreau 119 73 0 31 Jan 2022
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 96 714 0 13 Jun 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 114 1,190 0 16 Aug 2016