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De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors

23 February 2020

Papers citing "De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors"

5 / 5 papers shown

Title
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 152 4 0 06 Sep 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 89 20 0 08 Jul 2021
Risk Bounds for Learning via Hilbert Coresets Spencer Douglas Piyush Kumar R. Prasanth 52 0 0 29 Mar 2021
Generalization bounds for deep learning Guillermo Valle Pérez A. Louis BDL 82 45 0 07 Dec 2020