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Accelerated Fully First-Order Methods for Bilevel and Minimax
  Optimization

Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization

1 May 2024
Chris Junchi Li
ArXivPDFHTML

Papers citing "Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization"

12 / 12 papers shown
Title
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
53
31
0
04 Jan 2023
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye
B. Liu
S. Wright
Peter Stone
Qian Liu
69
82
0
19 Sep 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth
  Nonconvex Optimization
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin
Zeyu Zheng
Michael I. Jordan
39
50
0
12 Sep 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
114
32
0
04 Jul 2022
A framework for bilevel optimization that enables stochastic and global
  variance reduction algorithms
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
Restarted Nonconvex Accelerated Gradient Descent: No More
  Polylogarithmic Factor in the $O(ε^{-7/4})$ Complexity
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε−7/4)O(ε^{-7/4})O(ε−7/4) Complexity
Huan Li
Zhouchen Lin
29
21
0
27 Jan 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel
Julien Mairal
89
45
0
29 Nov 2021
A Cubic Regularization Approach for Finding Local Minimax Points in
  Nonconvex Minimax Optimization
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization
Ziyi Chen
Zhengyang Hu
Qunwei Li
Zhe Wang
Yi Zhou
26
7
0
14 Oct 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
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
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
109
370
0
06 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
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
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