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"

7 / 7 papers shown

Title
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 31 4 0 06 Sep 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 32 13 0 26 Feb 2022
Risk Bounds for Learning via Hilbert Coresets Spencer Douglas Piyush Kumar R. Prasanth 24 0 0 29 Mar 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015
PAC-Bayesian Estimation and Prediction in Sparse Additive Models Benjamin Guedj Pierre Alquier 102 47 0 06 Aug 2012
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 151 454 0 03 Dec 2007