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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★ 2 cited
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…