Constrained Bi-Level Optimization: Proximal Lagrangian Value function
Approach and Hessian-free Algorithm

Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm

29 January 2024

Papers citing "Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm"

16 / 16 papers shown

Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Y. Yang Xiao Lin Zhipeng Zhao SSL 69 8 0 28 Jan 2025
Differentially Private Bilevel Optimization Guy Kornowski 41 0 0 29 Sep 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 61 5 0 18 Jun 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 34 1 0 14 Jun 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 33 2 0 30 May 2024
Riemannian Bilevel Optimization Sanchayan Dutta Xiang Cheng S. Sra 25 0 0 22 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 35 6 0 16 May 2024
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace Bin Gao Yan Yang Ya-xiang Yuan 34 2 0 04 Apr 2024
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 8 1 0 16 Oct 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 26 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 72 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 129 73 0 31 Jan 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel Julien Mairal 92 45 0 29 Nov 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 96 714 0 13 Jun 2018
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 109 370 0 06 Mar 2017