pac-bayesian bound

Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 An Exact Characterization of the Generalization Error for the Gibbs Algorithm NeurIPS 2021 PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021 Improved PAC-Bayesian Bounds for Linear Regression AAAI 2020 On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning ICLR 2020 PAC-Bayesian Bound for the Conditional Value at Risk NeurIPS 2020 Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NeurIPS 2020 Analyzing Bayesian Crosslingual Transfer in Topic Models NAACL 2019 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019 Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NeurIPS 2019 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019 Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NeurIPS 2018 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017 PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016 PAC-Bayesian Theory Meets Bayesian Inference NeurIPS 2016 Stability and Generalization in Structured Prediction JMLR 2016 A PAC-Bayesian bound for Lifelong Learning ICML 2014 PAC-Bayesian AUC classification and scoring NeurIPS 2014 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012 Volume Regularization for Binary Classification NeurIPS 2012 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011