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pac-bayes theory

17 papers

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Also known as

PAC-BAYES

Co-occurring keywords

generalization bound (652) pac-bayes bound (53) prior distribution (61) learning theory (519) concentration inequality (81) pac-bayesian bound (40) uncertainty estimation (648) statistical bound (7) variance bound (11) statistical learning theory (82)

Papers

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026
Learning via Surrogate PAC-Bayes NIPS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024
Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NIPS 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023
On Margins and Generalisation for Voting Classifiers NIPS 2022
Assessing Local Generalization Capability in Deep Models AISTATS 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory ICML 2018
Exploring Generalization in Deep Learning NIPS 2017
Robust Forward Algorithms via PAC-Bayes and Laplace Distributions AISTATS 2014
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
PAC-Bayes Bounds with Data Dependent Priors JMLR 2012
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006