Self-Bounding Majority Vote Learning Algorithms by the Direct
Minimization of a Tight PAC-Bayesian C-Bound

Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound

28 April 2021

Papers citing "Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound"

10 / 10 papers shown

Title
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds Mehdi Hennequin Abdelkrim Zitouni K. Benabdeslem H. Elghazel Yacine Gaci 45 0 0 09 Nov 2024
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote A. Masegosa S. Lorenzen Christian Igel Yevgeny Seldin 77 40 0 01 Jul 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 265 42,038 0 03 Dec 2019
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions H. Kervadec Jose Dolz Jing Yuan Christian Desrosiers Eric Granger Ismail Ben Ayed 29 55 0 08 Apr 2019
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds David Reeb Andreas Doerr S. Gerwinn Barbara Rakitsch GP 22 34 0 29 Oct 2018
On PAC-Bayesian Bounds for Random Forests S. Lorenzen Christian Igel Yevgeny Seldin 21 13 0 23 Oct 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 229 11,962 0 19 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 82 808 0 31 Mar 2017
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 39 142 0 28 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 842 149,474 0 22 Dec 2014