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On the Global Optimality of Model-Agnostic Meta-Learning

On the Global Optimality of Model-Agnostic Meta-Learning

23 June 2020
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
ArXivPDFHTML

Papers citing "On the Global Optimality of Model-Agnostic Meta-Learning"

12 / 12 papers shown
Title
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
53
6
0
28 Jul 2024
Simplifying Deep Temporal Difference Learning
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
62
14
0
05 Jul 2024
Transformers as Decision Makers: Provable In-Context Reinforcement
  Learning via Supervised Pretraining
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin
Yu Bai
Song Mei
OffRL
32
43
0
12 Oct 2023
Provable Generalization of Overparameterized Meta-learning Trained with
  SGD
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Yu Huang
Yingbin Liang
Longbo Huang
MLT
26
8
0
18 Jun 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Haoxiang Wang
Yite Wang
Ruoyu Sun
Bo-wen Li
29
27
0
17 Mar 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
Model-Based Offline Meta-Reinforcement Learning with Regularization
Sen Lin
Jialin Wan
Tengyu Xu
Yingbin Liang
Junshan Zhang
OffRL
28
17
0
07 Feb 2022
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and
  Unseen Tasks
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
25
49
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
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge
  Learning
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
Sheng Yue
Ju Ren
Jiang Xin
Sen Lin
Junshan Zhang
FedML
27
44
0
16 Dec 2020
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
202
498
0
11 Jun 2018
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
338
11,684
0
09 Mar 2017
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