Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation

6 September 2019

Papers citing "Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation"

8 / 8 papers shown

Title
On the generalization of learning algorithms that do not converge N. Chandramoorthy Andreas Loukas Khashayar Gatmiry Stefanie Jegelka MLT 19 11 0 16 Aug 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 50 17 0 23 Feb 2022
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations Louis Fortier-Dubois Gaël Letarte Benjamin Leblanc Franccois Laviolette Pascal Germain UQCV 17 0 0 28 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 60 197 0 21 Oct 2021
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 20 102 0 25 Jul 2020
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 151 454 0 03 Dec 2007