ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.09927
  4. Cited By
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and
  Hessian-free Solution Strategy

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy

16 May 2024
Risheng Liu
Zhu Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
ArXivPDFHTML

Papers citing "Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy"

12 / 12 papers shown
Title
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Reza Shirkavand
Peiran Yu
Shangqian Gao
Gowthami Somepalli
Tom Goldstein
Heng-Chiao Huang
101
1
0
13 Mar 2025
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
Zhu Liu
Zijun Wang
Jinyuan Liu
Fanqi Meng
Long Ma
Risheng Liu
28
0
0
02 Mar 2025
Provably Faster Algorithms for Bilevel Optimization via
  Without-Replacement Sampling
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling
Junyi Li
Heng Huang
31
1
0
07 Nov 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity
Yan Yang
Bin Gao
Ya-xiang Yuan
30
2
0
30 May 2024
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
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
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel
Julien Mairal
89
45
0
29 Nov 2021
Implicit differentiation for fast hyperparameter selection in non-smooth
  convex learning
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Quentin Bertrand
Quentin Klopfenstein
Mathurin Massias
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
40
23
0
04 May 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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
1