A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution

25 August 2014

Papers citing "A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution"

8 / 8 papers shown

Title
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 26 9 0 21 Jun 2023
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 42 196 0 21 Oct 2021
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 23 18 0 10 May 2019
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 27 121 0 28 Jun 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 32 59 0 05 Feb 2017
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation V. Cottet Pierre Alquier 32 36 0 14 Apr 2016
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 47 249 0 12 Jun 2015
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 145 453 0 03 Dec 2007