Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC

5 March 2015

Sungjin Ahn

Anoop Korattikara Balan

Nathan Liu

Suju Rajan

Max Welling

BDL

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Papers citing "Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC"

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Title
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Low-rank Bayesian matrix completion via geodesic Hamiltonian Monte Carlo on Stiefel manifolds Tiangang Cui Alex Gorodetsky 16 0 0 27 Oct 2024
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent Qicong Hu Hao Wu 13 0 0 29 Aug 2024
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 14 109 0 10 Aug 2020
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries Saibal De H. Salehi Alex Gorodetsky 9 1 0 08 Jun 2020
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication T. Aa Xiangju Qin P. Blomstedt Roel Wuyts Wilfried Verachtert Samuel Kaski 6 0 0 06 Apr 2020
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering Chihao Zhang Yang Yang Wei Zhou Shihua Zhang 17 13 0 10 Feb 2020
Guidelines for enhancing data locality in selected machine learning algorithms Imen Chakroun T. Aa Thomas J. Ashby 11 4 0 09 Jan 2020
Scalable Bayesian Preference Learning for Crowds Edwin Simpson Iryna Gurevych BDL 6 24 0 04 Dec 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 14 135 0 16 Jul 2019
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms Imen Chakroun T. Aa Thomas J. Ashby 9 1 0 25 Apr 2019
On Transformations in Stochastic Gradient MCMC Soma Yokoi Takuma Otsuka Issei Sato 10 1 0 07 Mar 2019
Trace your sources in large-scale data: one ring to find them all Alexander Böttcher Wieland Brendel B. Englitz Matthias Bethge 11 1 0 23 Mar 2018
Control Variates for Stochastic Gradient MCMC Jack Baker Paul Fearnhead E. Fox Christopher Nemeth BDL 19 101 0 16 Jun 2017
Fractional Langevin Monte Carlo: Exploring Lévy Driven Stochastic Differential Equations for Markov Chain Monte Carlo Umut Simsekli 16 45 0 12 Jun 2017
Distributed Bayesian Probabilistic Matrix Factorization T. Aa Imen Chakroun Tom Haber 14 19 0 11 May 2017
Distributed Bayesian Matrix Factorization with Limited Communication Xiangju Qin P. Blomstedt Eemeli Leppaaho P. Parviainen Samuel Kaski 14 5 0 02 Mar 2017
Differentially Private Neighborhood-based Recommender Systems Jun Wang Qiang Tang 21 11 0 09 Jan 2017
Asynchronous Stochastic Gradient MCMC with Elastic Coupling Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter BDL 21 1 0 02 Dec 2016
Stochastic Gradient MCMC with Stale Gradients Changyou Chen Nan Ding Chunyuan Li Yizhe Zhang Lawrence Carin BDL 33 23 0 21 Oct 2016
Stochastic Quasi-Newton Langevin Monte Carlo Umut Simsekli Roland Badeau A. Cemgil G. Richard BDL 14 59 0 10 Feb 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels Wenzhe Li Sungjin Ahn Max Welling BDL 34 42 0 16 Oct 2015
Scalable Discrete Sampling as a Multi-Armed Bandit Problem Yutian Chen Zoubin Ghahramani 19 16 0 30 Jun 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference Edward Meeds Max Welling 22 36 0 11 Jun 2015
Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models Umut Simsekli Hazal Koptagel Hakan Güldaş taylan. cemgil Figen Oztoprak Ilker Birbil 23 12 0 03 Jun 2015
Fast Differentially Private Matrix Factorization Ziqi Liu Yu-Xiang Wang Alex Smola FedML 37 124 0 06 May 2015
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes Ryan P. Adams George E. Dahl Iain Murray 50 87 0 09 Aug 2014
MCMC using Hamiltonian dynamics Radford M. Neal 176 3,260 0 09 Jun 2012