Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

23 June 2021

Valentina Zantedeschi

Papers citing "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"

22 / 22 papers shown

Title
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 77 3 0 26 Apr 2024
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 50 4 0 06 Sep 2022
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound Paul Viallard Pascal Germain Amaury Habrard Emilie Morvant 13 6 0 28 Apr 2021
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds Paul Viallard Pascal Germain Amaury Habrard Emilie Morvant UQCV 57 15 0 17 Feb 2021
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 58 105 0 25 Jul 2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote A. Masegosa S. Lorenzen Christian Igel Yevgeny Seldin 72 40 0 01 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 70 80 0 23 Jun 2020
On the role of data in PAC-Bayes bounds Gintare Karolina Dziugaite Kyle Hsu W. Gharbieh Gabriel Arpino Daniel M. Roy 49 78 0 19 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 211 42,038 0 03 Dec 2019
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 42 47 0 31 May 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 72 221 0 16 Jan 2019
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds David Reeb Andreas Doerr S. Gerwinn Barbara Rakitsch GP 15 34 0 29 Oct 2018
On PAC-Bayesian Bounds for Random Forests S. Lorenzen Christian Igel Yevgeny Seldin 16 13 0 23 Oct 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 119 110 0 05 Jun 2018
Implicit Reparameterization Gradients Michael Figurnov S. Mohamed A. Mnih BDL 82 231 0 22 May 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 127 8,807 0 25 Aug 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 74 808 0 31 Mar 2017
A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann Christian Igel Olivier Wintenberger Yevgeny Seldin 30 83 0 19 Aug 2016
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 75 253 0 12 Jun 2015
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm Pascal Germain A. Lacasse François Laviolette M. Marchand Jean-Francis Roy 33 142 0 28 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 223 458 0 03 Dec 2007