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. 2301.10945
  4. Cited By
A Fully First-Order Method for Stochastic Bilevel Optimization

A Fully First-Order Method for Stochastic Bilevel Optimization

26 January 2023
Jeongyeol Kwon
Dohyun Kwon
S. Wright
Robert D. Nowak
ArXiv (abs)PDFHTML

Papers citing "A Fully First-Order Method for Stochastic Bilevel Optimization"

20 / 20 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
173
2
0
13 Mar 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
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
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
149
10
0
28 Jan 2025
Fully First-Order Methods for Decentralized Bilevel Optimization
Fully First-Order Methods for Decentralized Bilevel Optimization
Xiaoyu Wang
Xuxing Chen
Shiqian Ma
Tong Zhang
93
0
0
25 Oct 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
98
3
0
28 Sep 2024
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
Boyao Wang
Dylan Zhang
Hanning Zhang
Xingyuan Pan
Minrui Xu
Jipeng Zhang
Renjie Pi
Xiaoyu Wang
Tong Zhang
103
10
0
28 Jun 2024
First-Order Methods for Linearly Constrained Bilevel Optimization
First-Order Methods for Linearly Constrained Bilevel Optimization
Guy Kornowski
Swati Padmanabhan
Kai Wang
Zhe Zhang
S. Sra
122
5
0
18 Jun 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
114
2
0
30 May 2024
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
Bin Gao
Yan Yang
Ya-xiang Yuan
81
2
0
04 Apr 2024
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
Mohammad Salehi
Subhadip Mukherjee
Lindon Roberts
Matthias Joachim Ehrhardt
67
5
0
19 Aug 2023
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
283
30,103
0
01 Mar 2022
Towards Gradient-based Bilevel Optimization with Non-convex Followers
  and Beyond
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu
Yaohua Liu
Shangzhi Zeng
Jin Zhang
99
83
0
01 Oct 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level
  Optimization
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
Risheng Liu
Xuan Liu
Xiaoming Yuan
Shangzhi Zeng
Jin Zhang
71
80
0
15 Jun 2021
Stability and Generalization of Bilevel Programming in Hyperparameter
  Optimization
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
Fan Bao
Guoqiang Wu
Chongxuan Li
Jun Zhu
Bo Zhang
72
31
0
08 Jun 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via
  Double-Momentum
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri
Siliang Zeng
Mingyi Hong
Hoi-To Wai
Zhaoran Wang
Zhuoran Yang
72
132
0
15 Feb 2021
A Single-Timescale Method for Stochastic Bilevel Optimization
A Single-Timescale Method for Stochastic Bilevel Optimization
Tianyi Chen
Yuejiao Sun
Quan-Wu Xiao
W. Yin
69
79
0
09 Feb 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji
Junjie Yang
Yingbin Liang
199
261
0
15 Oct 2020
Penalty Method for Inversion-Free Deep Bilevel Optimization
Penalty Method for Inversion-Free Deep Bilevel Optimization
Akshay Mehra
Jihun Hamm
92
46
0
08 Nov 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
113
857
0
10 Sep 2019
A Review of automatic differentiation and its efficient implementation
A Review of automatic differentiation and its efficient implementation
C. Margossian
58
318
0
12 Nov 2018
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
179
732
0
13 Jun 2018
1