Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints

20 February 2023

Papers citing "Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints"

7 / 7 papers shown

Title
Learning Optimal Tax Design in Nonatomic Congestion Games Qiwen Cui Maryam Fazel S. S. Du 27 2 0 12 Feb 2024
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
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence Boyi Liu Jiayang Li Zhuoran Yang Hoi-To Wai Mingyi Hong Y. Nie Zhaoran Wang 44 18 0 04 Oct 2021
Operator Splitting for Learning to Predict Equilibria in Convex Games Daniel McKenzie Howard Heaton Qiuwei Li Samy Wu Fung Stanley Osher Wotao Yin 16 0 0 02 Jun 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 714 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 404 0 06 Mar 2017