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Information-Theoretic Generalization Bounds for Meta-Learning and
  Applications

Information-Theoretic Generalization Bounds for Meta-Learning and Applications

9 May 2020
Sharu Theresa Jose
Osvaldo Simeone
ArXivPDFHTML

Papers citing "Information-Theoretic Generalization Bounds for Meta-Learning and Applications"

13 / 13 papers shown
Title
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
62
1
0
08 Nov 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
43
8
0
23 Feb 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior:
  From Theory to Practice
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
Jonas Rothfuss
Martin Josifoski
Vincent Fortuin
Andreas Krause
40
7
0
14 Nov 2022
On the Algorithmic Stability and Generalization of Adaptive Optimization
  Methods
On the Algorithmic Stability and Generalization of Adaptive Optimization Methods
Han Nguyen
Hai Pham
Sashank J. Reddi
Barnabás Póczos
ODL
AI4CE
17
2
0
08 Nov 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
38
11
0
03 Oct 2022
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
A General framework for PAC-Bayes Bounds for Meta-Learning
A General framework for PAC-Bayes Bounds for Meta-Learning
A. Rezazadeh
AI4CE
21
4
0
11 Jun 2022
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear
  Filters and Equilibrium Propagation
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
Sangwoo Park
Osvaldo Simeone
34
8
0
01 Oct 2021
Individually Conditional Individual Mutual Information Bound on
  Generalization Error
Individually Conditional Individual Mutual Information Bound on Generalization Error
Ruida Zhou
C. Tian
Tie Liu
13
31
0
17 Dec 2020
Transfer Meta-Learning: Information-Theoretic Bounds and Information
  Meta-Risk Minimization
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization
Sharu Theresa Jose
Osvaldo Simeone
G. Durisi
24
17
0
04 Nov 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and
  Fine-Tuning
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
34
39
0
25 Aug 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
113
147
0
06 Nov 2019
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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