3 papers
cs.LG2020
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
Tom Vander Aa, Xiangju Qin, Paul Blomstedt +3
Matrix factorization is a very common machine learning technique in recommender systems. Bayesian Matrix Factorization (BMF) algorithms would be attractive because of their ability…
cs.LG2019
Scalable Bayesian Non-linear Matrix Completion
Xiangju Qin, Paul Blomstedt, Samuel Kaski
Matrix completion aims to predict missing elements in a partially observed data matrix which in typical applications, such as collaborative filtering, is large and extremely sparse…
stat.CO2016
Bayesian inference in hierarchical models by combining independent posteriors
Ritabrata Dutta, Paul Blomstedt, Samuel Kaski
Hierarchical models are versatile tools for joint modeling of data sets arising from different, but related, sources. Fully Bayesian inference may, however, become computationally…