A Strongly Quasiconvex PAC-Bayesian Bound

19 August 2016

Papers citing "A Strongly Quasiconvex PAC-Bayesian Bound"

22 / 22 papers shown

Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Romain Chor Abdellatif Zaidi Piotr Krasnowski 49 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 91 1 0 21 Feb 2025
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds Mehdi Hennequin Abdelkrim Zitouni K. Benabdeslem H. Elghazel Yacine Gaci 31 0 0 09 Nov 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
Sparse is Enough in Fine-tuning Pre-trained Large Language Models Weixi Song Z. Li Lefei Zhang Hai Zhao Bo Du VLM 23 7 0 19 Dec 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 28 9 0 21 Jun 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 28 2 0 02 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 29 51 0 24 Nov 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 21 4 0 11 Jun 2022
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables Yi-Shan Wu Yevgeny Seldin 19 12 0 01 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 24 21 0 31 May 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 29 47 0 11 Mar 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 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
Self-Certifying Classification by Linearized Deep Assignment Bastian Boll Alexander Zeilmann Stefania Petra Christoph Schnörr 19 2 0 26 Jan 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 60 196 0 21 Oct 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 27 34 0 12 Feb 2021
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 20 102 0 25 Jul 2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote A. Masegosa S. Lorenzen Christian Igel Yevgeny Seldin 34 40 0 01 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 33 80 0 23 Jun 2020
PAC-Bayes with Backprop Omar Rivasplata Vikram Tankasali Csaba Szepesvári 21 49 0 19 Aug 2019
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 454 0 03 Dec 2007