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Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters

Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters

16 June 2020
Kaiyi Ji
J. Lee
Yingbin Liang
H. Vincent Poor
ArXivPDFHTML

Papers citing "Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters"

48 / 48 papers shown
Title
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Youran Dong
Junfeng Yang
Wei-Ting Yao
Jin Zhang
132
0
0
04 May 2025
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
Zixuan Gong
Xiaolin Hu
Huayi Tang
Yong Liu
35
0
0
24 Feb 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence
Memory-Reduced Meta-Learning with Guaranteed Convergence
Honglin Yang
Ji Ma
Xiao Yu
74
0
0
16 Dec 2024
Exploring the Generalization Capabilities of AID-based Bi-level
  Optimization
Exploring the Generalization Capabilities of AID-based Bi-level Optimization
C. L. Philip Chen
Li Shen
Zhiqiang Xu
Wei Liu
Zhi-Quan Luo
Peilin Zhao
68
1
0
25 Nov 2024
Fully First-Order Methods for Decentralized Bilevel Optimization
Fully First-Order Methods for Decentralized Bilevel Optimization
Xiaoyu Wang
Xuxing Chen
Shiqian Ma
Tong Zhang
38
0
0
25 Oct 2024
Differentially Private Bilevel Optimization
Differentially Private Bilevel Optimization
Guy Kornowski
142
0
0
29 Sep 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
78
5
0
18 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
49
6
0
16 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax
  Optimization
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
Chris Junchi Li
56
0
0
01 May 2024
Federated reinforcement learning for robot motion planning with
  zero-shot generalization
Federated reinforcement learning for robot motion planning with zero-shot generalization
Zhenyuan Yuan
Siyuan Xu
Minghui Zhu
FedML
35
1
0
20 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
18
4
0
06 Feb 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value function
  Approach and Hessian-free Algorithm
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
Wei-Ting Yao
Chengming Yu
Shangzhi Zeng
Jin Zhang
23
13
0
29 Jan 2024
A Single-Loop Algorithm for Decentralized Bilevel Optimization
A Single-Loop Algorithm for Decentralized Bilevel Optimization
Youran Dong
Shiqian Ma
Junfeng Yang
Chao Yin
36
7
0
15 Nov 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Sen-Fon Lin
Daouda Sow
Kaiyi Ji
Yitao Liang
Ness B. Shroff
36
2
0
07 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
33
2
0
01 Aug 2023
Learning with Constraint Learning: New Perspective, Solution Strategy
  and Various Applications
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
37
9
0
28 Jul 2023
Accelerating Inexact HyperGradient Descent for Bilevel Optimization
Accelerating Inexact HyperGradient Descent for Bilevel Optimization
Hai-Long Yang
Luo Luo
C. J. Li
Michael I. Jordan
26
13
0
30 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
27
24
0
21 Jun 2023
Classification Tree Pruning Under Covariate Shift
Classification Tree Pruning Under Covariate Shift
Nicholas Galbraith
Samory Kpotufe
30
1
0
07 May 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Yingcong Li
Samet Oymak
MoE
26
4
0
08 Mar 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Minhui Huang
Dewei Zhang
Kaiyi Ji
FedML
27
18
0
10 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without
  Lower-Level Strong Convexity
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu
Yaohua Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
32
24
0
07 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
29
20
0
03 Feb 2023
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
66
31
0
04 Jan 2023
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
58
32
0
24 Oct 2022
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
24
25
0
23 Oct 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel
  Hyperparameter Selection Problems
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy L. Gao
J. Ye
Haian Yin
Shangzhi Zeng
Jin Zhang
26
23
0
13 Jun 2022
Will Bilevel Optimizers Benefit from Loops
Will Bilevel Optimizers Benefit from Loops
Kaiyi Ji
Mingrui Liu
Yingbin Liang
Lei Ying
39
41
0
27 May 2022
Continual Learning with Foundation Models: An Empirical Study of Latent
  Replay
Continual Learning with Foundation Models: An Empirical Study of Latent Replay
O. Ostapenko
Timothée Lesort
P. Rodríguez
Md Rifat Arefin
Arthur Douillard
Irina Rish
Laurent Charlin
29
51
0
30 Apr 2022
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and
  Nonsmooth Bi-level Optimization
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization
Ziyi Chen
B. Kailkhura
Yi Zhou
26
8
0
30 Mar 2022
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner
  Minima
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima
Daouda Sow
Kaiyi Ji
Ziwei Guan
Yingbin Liang
29
8
0
01 Mar 2022
Efficiently Escaping Saddle Points in Bilevel Optimization
Efficiently Escaping Saddle Points in Bilevel Optimization
Minhui Huang
Xuxing Chen
Kaiyi Ji
Shiqian Ma
Lifeng Lai
26
20
0
08 Feb 2022
On the Convergence Theory for Hessian-Free Bilevel Algorithms
On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow
Kaiyi Ji
Yingbin Liang
26
28
0
13 Oct 2021
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
19
80
0
01 Oct 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Chen Fan
Parikshit Ram
Sijia Liu
FedML
61
16
0
15 Sep 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and
  Personalized Federated Learning
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
Bokun Wang
Zhuoning Yuan
Yiming Ying
Tianbao Yang
FedML
53
9
0
09 Jun 2021
Provably Faster Algorithms for Bilevel Optimization
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang
Kaiyi Ji
Yingbin Liang
46
132
0
08 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
30
30
0
08 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
40
9
0
05 Jun 2021
How Fine-Tuning Allows for Effective Meta-Learning
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua
Qi Lei
Jason D. Lee
28
48
0
05 May 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
Kaiyi Ji
Yingbin Liang
18
57
0
07 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
53
222
0
27 Jan 2021
How Does the Task Landscape Affect MAML Performance?
How Does the Task Landscape Affect MAML Performance?
Liam Collins
Aryan Mokhtari
Sanjay Shakkottai
19
3
0
27 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji
Junjie Yang
Yingbin Liang
28
245
0
15 Oct 2020
How Important is the Train-Validation Split in Meta-Learning?
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai
Minshuo Chen
Pan Zhou
T. Zhao
J. Lee
Sham Kakade
Haiquan Wang
Caiming Xiong
16
53
0
12 Oct 2020
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
180
639
0
19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
173
666
0
07 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
341
11,684
0
09 Mar 2017
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