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gibbs posterior

11 papers

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Co-occurring keywords · papers mentioning both

generalization bound (2) oracle inequality (2) bayesian inference (2) variational inference (2) bernstein condition (1) ranking risk (1) neural network (1) neural scaling law (1) rashomon set (1) lipchitz loss (1)

Papers

EVIA: Entropic Variational Inference Auto-encoding UAI 2026 REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees UAI 2026 The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025 The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws AISTATS 2025 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 PAC-Bayes under potentially heavy tails NeurIPS 2019 Differential Privacy without Sensitivity NeurIPS 2016 On the properties of variational approximations of Gibbs posteriors JMLR 2016 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013