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data-dependent prior

4 papers

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Co-occurring keywords · papers mentioning both

generalization bound (4) stochastic gradient langevin dynamics (2) pac-bayes bound (2) local entropy (1) hidden layer activation (1) randomized predictor (1) data-dependent distribution (1) effective model size (1) stochastic learning (1) pac-bayesian theory (1)

Papers

Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 Sparsity-aware generalization theory for deep neural networks COLT 2023 PAC-Bayes Analysis Beyond the Usual Bounds NeurIPS 2020 Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018