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Found 4 papers, 0 papers with code
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
We show that the combination of the two methods gives substantial improvements in the scalability of BMF on web-scale datasets, when the goal is to reduce the wall-clock time.
Scalable Bayesian Non-linear Matrix Completion
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 sparsely observed.
Distributed Bayesian Matrix Factorization with Limited Communication
Bayesian matrix factorization (BMF) is a powerful tool for producing low-rank representations of matrices and for predicting missing values and providing confidence intervals.
A Latent Space Analysis of Editor Lifecycles in Wikipedia
Collaborations such as Wikipedia are a key part of the value of the modern Internet.
