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pac-bayes bound

53 papers

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Also known as

PAC-BAYES

Co-occurring keywords

generalization bound (652) learning theory (519) pac-bayesian bound (40) posterior distribution (259) statistical learning (351) concentration inequality (81) pac-bayes theory (17) bayesian inference (1907) risk bound (71) neural network (6616)

Papers

Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NIPS 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NIPS 2021
How Tight Can PAC-Bayes be in the Small Data Regime? NIPS 2021
On the Role of Data in PAC-Bayes Bounds AISTATS 2021
Tighter Risk Certificates for Neural Networks JMLR 2021
PAC-Bayes Learning Bounds for Sample-Dependent Priors NIPS 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020
A Limitation of the PAC-Bayes Framework NIPS 2020
PAC-Bayes Analysis Beyond the Usual Bounds NIPS 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning ICML 2019
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence NIPS 2019
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors NIPS 2018
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes JMLR 2010
From PAC-Bayes Bounds to KL Regularization NIPS 2009
Risk Bounds for Randomized Sample Compressed Classifiers NIPS 2008
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007