64 citations · 99 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Meta-analysis of Bayesian analyses
Paul Blomstedt, Diego Mesquita, Omar Rivasplata +4
Meta-analysis aims to generalize results from multiple related statistical analyses through a combined analysis. While the natural outcome of a Bayesian study is a posterior distri…
Embarrassingly parallel MCMC using deep invertible transformations
Diego Mesquita, Paul Blomstedt, Samuel Kaski
While MCMC methods have become a main work-horse for Bayesian inference, scaling them to large distributed datasets is still a challenge. Embarrassingly parallel MCMC strategies ta…