v1v2v3 (latest)

Generalization Error Bounds Via Rényi-, $f$ -Divergences and Maximal Leakage

1 December 2019

Papers citing "Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal Leakage"

47 / 47 papers shown

Title
Generalization Bounds for Quantum Learning via Rényi Divergences Naqueeb Ahmad Warsi Ayanava Dasgupta Masahito Hayashi 53 0 0 16 May 2025
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Romain Chor Abdellatif Zaidi Piotr Krasnowski 95 1 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 282 2 0 21 Feb 2025
The Generalization Error of Machine Learning Algorithms S. Perlaza Xinying Zou 118 6 0 18 Nov 2024
Which Algorithms Have Tight Generalization Bounds? Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 54 0 0 02 Oct 2024
Information-Theoretic Generalization Bounds for Deep Neural Networks Haiyun He Christina Lee Yu 108 6 0 04 Apr 2024
An Information-Theoretic Framework for Out-of-Distribution Generalization Wenliang Liu Guanding Yu Lele Wang Renjie Liao 70 3 0 29 Mar 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 152 0 0 08 Nov 2023
Maximal Information Leakage from Quantum Encoding of Classical Data F. Farokhi 70 5 0 24 Jul 2023
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation S. Perlaza I. Esnaola Gaetan Bisson H. Vincent Poor 59 22 0 21 Jun 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 148 9 0 21 Jun 2023
A unified framework for information-theoretic generalization bounds Y.-C. Chu Maxim Raginsky 47 16 0 18 May 2023
Lower Bounds on the Bayesian Risk via Information Measures A. Esposito Adrien Vandenbroucque Michael C. Gastpar 110 2 0 22 Mar 2023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage Ibrahim Issa A. Esposito Michael C. Gastpar 56 2 0 28 Feb 2023
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 127 2 0 11 Feb 2023
Empirical Risk Minimization with Relative Entropy Regularization S. Perlaza Gaetan Bisson I. Esnaola Alain Jean-Marie Stefano Rini 64 23 0 12 Nov 2022
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? Haiyun He Gholamali Aminian Yuheng Bu Miguel R. D. Rodrigues Vincent Y. F. Tan 48 4 0 15 Oct 2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions Gholamali Aminian Saeed Masiha Laura Toni M. Rodrigues 53 9 0 02 Oct 2022
On Rademacher Complexity-based Generalization Bounds for Deep Learning Lan V. Truong MLT 114 13 0 08 Aug 2022
Finite Littlestone Dimension Implies Finite Information Complexity Aditya Pradeep Ido Nachum Michael C. Gastpar 59 8 0 27 Jun 2022
f-divergences and their applications in lossy compression and bounding generalization error Saeed Masiha A. Gohari Mohammad Hossein Yassaee 74 14 0 21 Jun 2022
Formal limitations of sample-wise information-theoretic generalization bounds Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan 48 2 0 13 May 2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms Romain Chor A. Gohari Gaël Richard Umut Simsekli 107 24 0 04 Mar 2022
Chained Generalisation Bounds Eugenio Clerico Amitis Shidani George Deligiannidis Arnaud Doucet AI4CE FedML 74 13 0 02 Mar 2022
Tighter Expected Generalization Error Bounds via Convexity of Information Measures Gholamali Aminian Yuheng Bu G. Wornell Miguel R. D. Rodrigues 72 24 0 24 Feb 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift Gholamali Aminian Mahed Abroshan Mohammad Mahdi Khalili Laura Toni M. Rodrigues OOD 114 28 0 24 Feb 2022
Generalization Bounds via Convex Analysis Gábor Lugosi Gergely Neu 77 29 0 10 Feb 2022
From Generalisation Error to Transportation-cost Inequalities and Back A. Esposito Michael C. Gastpar 74 7 0 08 Feb 2022
On Sibson's $α$ -Mutual Information A. Esposito Adrien Vandenbroucque Michael C. Gastpar 42 6 0 08 Feb 2022
Lower-bounds on the Bayesian Risk in Estimation Procedures via $f$ -Divergences Adrien Vandenbroucque A. Esposito Michael C. Gastpar 110 0 0 05 Feb 2022
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning L. P. Barnes Alex Dytso H. V. Poor FedML 57 19 0 04 Feb 2022
Generalization Error Bounds on Deep Learning with Markov Datasets Lan V. Truong 93 8 0 23 Dec 2021
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm Yuheng Bu Gholamali Aminian Laura Toni Miguel R. D. Rodrigues G. Wornell 59 14 0 02 Nov 2021
Information-theoretic generalization bounds for black-box learning algorithms Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan 136 44 0 04 Oct 2021
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning Haiyun He Hanshu Yan Vincent Y. F. Tan 97 11 0 03 Oct 2021
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information Gholamali Aminian Yuheng Bu Laura Toni M. Rodrigues G. Wornell 73 4 0 28 Jul 2021
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels Hao Wang Rui Gao Flavio du Pin Calmon 81 18 0 05 Feb 2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 139 16 0 03 Feb 2021
On conditional Sibson's $α$ -Mutual Information A. Esposito Diyuan Wu Michael C. Gastpar 31 3 0 01 Feb 2021
Tighter expected generalization error bounds via Wasserstein distance Borja Rodríguez Gálvez Germán Bassi Ragnar Thobaben Mikael Skoglund 79 46 0 22 Jan 2021
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization Sharu Theresa Jose Osvaldo Simeone G. Durisi 114 17 0 04 Nov 2020
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 80 31 0 23 Oct 2020
Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks Fredrik Hellström G. Durisi 95 2 0 22 Oct 2020
Generalization Bounds via Information Density and Conditional Information Density Fredrik Hellström G. Durisi 126 67 0 16 May 2020
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning Semih Yagli Alex Dytso H. Vincent Poor FedML 84 33 0 05 May 2020
Generalization Error Bounds via $m$ th Central Moments of the Information Density Fredrik Hellström G. Durisi 56 5 0 20 Apr 2020
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization Tyler Sypherd Mario Díaz J. Cava Gautam Dasarathy Peter Kairouz Lalitha Sankar 67 29 0 05 Jun 2019

Generalization Error Bounds Via Rényi-, fff-Divergences and Maximal Leakage

Papers citing "Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal Leakage"

Generalization Error Bounds Via Rényi-, $f$ -Divergences and Maximal Leakage