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Bilevel Optimization under Unbounded Smoothness: A New Algorithm and
  Convergence Analysis

Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis

17 January 2024
Jie Hao
Xiaochuan Gong
Mingrui Liu
ArXivPDFHTML

Papers citing "Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis"

12 / 12 papers shown
Title
Fully First-Order Methods for Decentralized Bilevel Optimization
Fully First-Order Methods for Decentralized Bilevel Optimization
Xiaoyu Wang
Xuxing Chen
Shiqian Ma
Tong Zhang
31
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
29
2
0
28 Sep 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
36
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
34
2
0
04 Apr 2024
Convergence of Adam Under Relaxed Assumptions
Convergence of Adam Under Relaxed Assumptions
Haochuan Li
Alexander Rakhlin
Ali Jadbabaie
29
53
0
27 Apr 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
72
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
95
0
31 Jan 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel
Julien Mairal
101
58
0
29 Nov 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
170
634
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
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
243
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
112
404
0
06 Mar 2017
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