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On the Convergence Theory for Hessian-Free Bilevel Algorithms

On the Convergence Theory for Hessian-Free Bilevel Algorithms

13 October 2021
Daouda Sow
Kaiyi Ji
Yingbin Liang
ArXivPDFHTML

Papers citing "On the Convergence Theory for Hessian-Free Bilevel Algorithms"

25 / 25 papers shown
Title
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO: quasi-Newton Meets Bilevel Optimization
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
87
0
0
03 Feb 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
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
71
9
0
28 Jan 2025
On Penalty-based Bilevel Gradient Descent Method
On Penalty-based Bilevel Gradient Descent Method
Han Shen
Quan-Wu Xiao
Tianyi Chen
60
50
0
08 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
36
0
0
25 Oct 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
24
0
0
16 Sep 2024
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Feihu Huang
35
4
0
25 Jul 2024
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
Rui Pan
Jipeng Zhang
Xingyuan Pan
Renjie Pi
Xiaoyu Wang
Tong Zhang
45
5
0
28 Jun 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with
  Coupled Constraints
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
Liuyuan Jiang
Quan-Wu Xiao
Victor M. Tenorio
Fernando Real-Rojas
Antonio G. Marques
Tianyi Chen
40
1
0
14 Jun 2024
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
Risheng Liu
Zhu Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
35
6
0
16 May 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Alireza Aghasi
Saeed Ghadimi
23
2
0
29 Mar 2024
A Framework for Bilevel Optimization on Riemannian Manifolds
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Akiko Takeda
11
4
0
06 Feb 2024
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully
  First-Order Oracles
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles
Le‐Yu Chen
Yaohua Ma
J. Zhang
84
2
0
26 Jun 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed
  Smoothness Conditions
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
Xuxing Chen
Tesi Xiao
Krishnakumar Balasubramanian
19
24
0
21 Jun 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
Chen Fan
Gaspard Choné-Ducasse
Mark W. Schmidt
Christos Thrampoulidis
19
3
0
30 May 2023
Effective Bilevel Optimization via Minimax Reformulation
Xiaoyu Wang
Rui Pan
Renjie Pi
Tong Zhang
30
1
0
22 May 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With
  Equilibrium Constraints
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints
Jiayang Li
J. Yu
Boyi Liu
Zhaoran Wang
Y. Nie
27
6
0
20 Feb 2023
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
Mathieu Dagréou
Thomas Moreau
Samuel Vaiter
Pierre Ablin
18
12
0
17 Feb 2023
Decentralized Stochastic Bilevel Optimization with Improved
  per-Iteration Complexity
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
Xuxing Chen
Minhui Huang
Shiqian Ma
Krishnakumar Balasubramanian
19
24
0
23 Oct 2022
Lazy Queries Can Reduce Variance in Zeroth-order Optimization
Lazy Queries Can Reduce Variance in Zeroth-order Optimization
Quan-Wu Xiao
Qing Ling
Tianyi Chen
28
0
0
14 Jun 2022
Inexact bilevel stochastic gradient methods for constrained and
  unconstrained lower-level problems
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
15
12
0
01 Oct 2021
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Bin Gu
Guodong Liu
Yanfu Zhang
Xiang Geng
Heng-Chiao Huang
31
18
0
17 Feb 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
172
639
0
19 Sep 2019
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
99
715
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
243
11,659
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
112
404
0
06 Mar 2017
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