A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk
Minimization

A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization

17 February 2023

Mathieu Dagréou

Pierre Ablin

Papers citing "A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization"

8 / 8 papers shown

Title
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Youran Dong Junfeng Yang Wei-Ting Yao Jin Zhang 94 0 0 04 May 2025
Differentially Private Bilevel Optimization Guy Kornowski 96 0 0 29 Sep 2024
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 95 0 31 Jan 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel Julien Mairal 101 58 0 29 Nov 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 404 0 06 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,198 0 16 Aug 2016