Tighter risk certificates for neural networks

25 July 2020

Papers citing "Tighter risk certificates for neural networks"

32 / 32 papers shown

Title
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
Measuring temporal effects of agent knowledge by date-controlled tool use R. Xian Qiming Cui Stefan Bauer Reza Abbasi-Asl KELM 65 0 0 06 Mar 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran A. Zaidi Piotr Krasnowski 83 1 0 21 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 48 0 0 10 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses Mathieu Bazinet Valentina Zantedeschi Pascal Germain MLT AI4CE 31 2 0 26 Sep 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu Yijie Zhang Badr-Eddine Chérief-Abdellatif Yevgeny Seldin 26 1 0 23 May 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 55 1 0 08 Nov 2023
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
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 21 0 0 15 Jun 2023
Fundamental Tradeoffs in Learning with Prior Information Anirudha Majumdar 27 0 0 26 Apr 2023
Operator theory, kernels, and Feedforward Neural Networks P. Jorgensen Myung-Sin Song James Tian 32 0 0 03 Jan 2023
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi Marc Finzi Sanyam Kapoor Andres Potapczynski Micah Goldblum A. Wilson BDL MLT AI4CE 19 51 0 24 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 35 7 0 14 Nov 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Sungyub Kim Si-hun Park Kyungsu Kim Eunho Yang BDL 24 4 0 30 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 26 4 0 06 Sep 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 48 9 0 12 Jul 2022
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion Chengli Tan Jiang Zhang Junmin Liu 35 1 0 09 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 16 21 0 31 May 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 17 2 0 26 Apr 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 14 47 0 11 Mar 2022
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 25 13 0 11 Feb 2022
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning Wei Huang Chunrui Liu Yilan Chen Tianyu Liu R. Xu BDL MLT 19 2 0 04 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 30 26 0 03 Feb 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 22 41 0 20 Jan 2022
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations Louis Fortier-Dubois Gaël Letarte Benjamin Leblanc Franccois Laviolette Pascal Germain UQCV 14 0 0 28 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 37 196 0 21 Oct 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 19 34 0 12 Feb 2021
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote A. Masegosa S. Lorenzen Christian Igel Yevgeny Seldin 26 40 0 01 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 22 80 0 23 Jun 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 142 453 0 03 Dec 2007