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Provable Generalization of Overparameterized Meta-learning Trained with
  SGD

Provable Generalization of Overparameterized Meta-learning Trained with SGD

18 June 2022
Yu Huang
Yingbin Liang
Longbo Huang
    MLT
ArXivPDFHTML

Papers citing "Provable Generalization of Overparameterized Meta-learning Trained with SGD"

10 / 10 papers shown
Title
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank
  Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
17
1
0
13 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable
  Near-Optimality under All-task Optimum Comparator
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
Siyuan Xu
Minghui Zhu
OffRL
16
1
0
13 Oct 2024
Dynamics of Meta-learning Representation in the Teacher-student Scenario
Dynamics of Meta-learning Representation in the Teacher-student Scenario
Hui Wang
Cho Tung Yip
Bo Li
32
0
0
22 Aug 2024
Intelligent Chemical Purification Technique Based on Machine Learning
Intelligent Chemical Purification Technique Based on Machine Learning
Wenchao Wu
Hao Xu
Dongxiao Zhang
Fanyang Mo
31
0
0
14 Apr 2024
Theoretical Characterization of the Generalization Performance of
  Overfitted Meta-Learning
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
Peizhong Ju
Yitao Liang
Ness B. Shroff
MLT
AI4CE
13
2
0
09 Apr 2023
Understanding Benign Overfitting in Gradient-Based Meta Learning
Understanding Benign Overfitting in Gradient-Based Meta Learning
Lisha Chen
Songtao Lu
Tianyi Chen
MLT
20
14
0
27 Jun 2022
Last Iterate Risk Bounds of SGD with Decaying Stepsize for
  Overparameterized Linear Regression
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Jingfeng Wu
Difan Zou
Vladimir Braverman
Quanquan Gu
Sham Kakade
96
20
0
12 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic
  Analysis
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi Chen
Changjian Shui
M. Marchand
35
43
0
29 Sep 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on
  Tasks
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
11
6
0
06 Jul 2021
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
1