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Reasoning About Generalization via Conditional Mutual Information

Reasoning About Generalization via Conditional Mutual Information

24 January 2020
Thomas Steinke
Lydia Zakynthinou
ArXivPDFHTML

Papers citing "Reasoning About Generalization via Conditional Mutual Information"

41 / 41 papers shown
Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Milad Sefidgaran
Abdellatif Zaidi
Piotr Krasnowski
44
0
0
25 Apr 2025
A Causal Adjustment Module for Debiasing Scene Graph Generation
A Causal Adjustment Module for Debiasing Scene Graph Generation
Li Liu
Shuzhou Sun
Shuaifeng Zhi
Fan Shi
Zhen Liu
J. Heikkilä
Yongxiang Liu
CML
57
2
0
22 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
Ziqiao Wang
Cheng Long
Yongyi Mao
FedML
52
0
0
06 Mar 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran
A. Zaidi
Piotr Krasnowski
91
1
0
21 Feb 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
B. Wang
Y. Liu
48
0
0
03 Oct 2024
Information-Theoretic Generalization Bounds for Deep Neural Networks
Information-Theoretic Generalization Bounds for Deep Neural Networks
Haiyun He
Christina Lee Yu
35
4
0
04 Apr 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
57
1
0
08 Nov 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
Sarah Sachs
T. Erven
Liam Hodgkinson
Rajiv Khanna
Umut Simsekli
21
3
0
04 Jul 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail
  behaviors, to anytime validity
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
26
9
0
21 Jun 2023
Semantic Communication of Learnable Concepts
Semantic Communication of Learnable Concepts
Francesco Pase
S. Kobus
Deniz Gunduz
M. Zorzi
19
3
0
14 May 2023
Stability is Stable: Connections between Replicability, Privacy, and
  Adaptive Generalization
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization
Mark Bun
Marco Gaboardi
Max Hopkins
R. Impagliazzo
Rex Lei
T. Pitassi
Satchit Sivakumar
Jessica Sorrell
28
29
0
22 Mar 2023
Generalization Bounds with Data-dependent Fractal Dimensions
Generalization Bounds with Data-dependent Fractal Dimensions
Benjamin Dupuis
George Deligiannidis
Umut cSimcsekli
AI4CE
33
12
0
06 Feb 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang
Yongyi Mao
29
17
0
05 Feb 2023
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
27
10
0
19 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
On Leave-One-Out Conditional Mutual Information For Generalization
On Leave-One-Out Conditional Mutual Information For Generalization
Mohamad Rida Rammal
Alessandro Achille
Aditya Golatkar
Suhas Diggavi
Stefano Soatto
VLM
28
5
0
01 Jul 2022
Understanding Generalization via Leave-One-Out Conditional Mutual
  Information
Understanding Generalization via Leave-One-Out Conditional Mutual Information
Mahdi Haghifam
Shay Moran
Daniel M. Roy
Gintare Karolina Dziugaite
20
14
0
29 Jun 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity
Benefits of Additive Noise in Composing Classes with Bounded Capacity
A. F. Pour
H. Ashtiani
24
3
0
14 Jun 2022
Fast Rate Generalization Error Bounds: Variations on a Theme
Fast Rate Generalization Error Bounds: Variations on a Theme
Xuetong Wu
J. Manton
U. Aickelin
Jingge Zhu
22
7
0
06 May 2022
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
18
27
0
24 Feb 2022
Information-Theoretic Analysis of Minimax Excess Risk
Information-Theoretic Analysis of Minimax Excess Risk
Hassan Hafez-Kolahi
Behrad Moniri
S. Kasaei
17
4
0
15 Feb 2022
From Generalisation Error to Transportation-cost Inequalities and Back
From Generalisation Error to Transportation-cost Inequalities and Back
A. Esposito
Michael C. Gastpar
16
7
0
08 Feb 2022
Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
28
8
0
09 Jan 2022
Towards a Unified Information-Theoretic Framework for Generalization
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam
Gintare Karolina Dziugaite
Shay Moran
Daniel M. Roy
19
34
0
09 Nov 2021
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
M. Nokleby
Ahmad Beirami
57
1
0
08 Nov 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
57
196
0
21 Oct 2021
On the Generalization of Models Trained with SGD: Information-Theoretic
  Bounds and Implications
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
Ziqiao Wang
Yongyi Mao
FedML
MLT
37
22
0
07 Oct 2021
Information-Theoretic Characterization of the Generalization Error for
  Iterative Semi-Supervised Learning
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
Haiyun He
Hanshu Yan
Vincent Y. F. Tan
31
11
0
03 Oct 2021
Characterizing the Generalization Error of Gibbs Algorithm with
  Symmetrized KL information
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Gholamali Aminian
Yuheng Bu
Laura Toni
M. Rodrigues
G. Wornell
24
4
0
28 Jul 2021
Attack Transferability Characterization for Adversarially Robust
  Multi-label Classification
Attack Transferability Characterization for Adversarially Robust Multi-label Classification
Zhuo Yang
Yufei Han
Xiangliang Zhang
AAML
21
4
0
29 Jun 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate
  bounds that handle general VC classes
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes
Peter Grünwald
Thomas Steinke
Lydia Zakynthinou
26
29
0
17 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 Jun 2021
Minimum Excess Risk in Bayesian Learning
Minimum Excess Risk in Bayesian Learning
Aolin Xu
Maxim Raginsky
31
37
0
29 Dec 2020
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
21
17
0
04 Nov 2020
On Random Subset Generalization Error Bounds and the Stochastic Gradient
  Langevin Dynamics Algorithm
On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
Borja Rodríguez Gálvez
Germán Bassi
Ragnar Thobaben
Mikael Skoglund
15
32
0
21 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
58
22
0
16 Oct 2020
Generalization Bounds via Information Density and Conditional
  Information Density
Generalization Bounds via Information Density and Conditional Information Density
Fredrik Hellström
G. Durisi
24
65
0
16 May 2020
Sharpened Generalization Bounds based on Conditional Mutual Information
  and an Application to Noisy, Iterative Algorithms
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam
Jeffrey Negrea
Ashish Khisti
Daniel M. Roy
Gintare Karolina Dziugaite
26
105
0
27 Apr 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
110
147
0
06 Nov 2019
Testing Conditional Independence in Supervised Learning Algorithms
Testing Conditional Independence in Supervised Learning Algorithms
David S. Watson
Marvin N. Wright
CML
29
52
0
28 Jan 2019
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