Bayesian methods for low-rank matrix estimation: short survey and
theoretical study

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Bayesian methods for low-rank matrix estimation: short survey and theoretical study

International Conference on Algorithmic Learning Theory (ALT), 2013

17 June 2013

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Papers citing "Bayesian methods for low-rank matrix estimation: short survey and theoretical study"

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Title
Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating Ahmad Alsheikh Andreas Fischer AI4CE 36 0 0 06 Oct 2025
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 163 2 0 27 Apr 2024
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 219 0 0 25 May 2023
Optimal quasi-Bayesian reduced rank regression with incomplete response The Tien Mai Pierre Alquier 182 2 0 17 Jun 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 408 241 0 21 Oct 2021
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior The Tien Mai 170 2 0 16 Apr 2021
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completionMetron (Metron), 2021 The Tien Mai 124 1 0 22 Mar 2021
Efficient Bayesian reduced rank regression using Langevin Monte Carlo approach The Tien Mai BDL 88 4 0 15 Feb 2021
Matrix factorization for multivariate time series analysis Pierre Alquier Nicolas Marie AI4TS 135 6 0 13 Mar 2019
Exponential weights in multivariate regression and a low-rankness favoring prior A. Dalalyan 163 16 0 25 Jun 2018
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functionsAnnals of Statistics (Ann. Stat.), 2017 Pierre Alquier V. Cottet Guillaume Lecué 328 60 0 05 Feb 2017
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection Antik Chakraborty A. Bhattacharya Bani Mallick 287 31 0 02 Dec 2016
On the Exponentially Weighted Aggregate with the Laplace Prior A. Dalalyan Edwin Grappin Q. Paris 152 20 0 25 Nov 2016
An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization Pierre Alquier Benjamin Guedj 284 17 0 06 Jan 2016
On the properties of variational approximations of Gibbs posteriorsJournal of machine learning research (JMLR), 2015 Pierre Alquier James Ridgway Nicolas Chopin 283 268 0 12 Jun 2015
A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution The Tien Mai Pierre Alquier 247 54 0 25 Aug 2014
Convergence rate of Bayesian tensor estimator: Optimal rate without restricted strong convexity Taiji Suzuki 143 5 0 13 Aug 2014