A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.
Tom Vander AaXiangju QinPaul BlomstedtRoel WuytsWilfried VerachtertSamuel KaskiPublished in: ICCS (6) (2020)
Keyphrases
- matrix factorization
- variational bayesian
- collaborative filtering
- recommender systems
- negative matrix factorization
- missing data
- low rank
- nonnegative matrix factorization
- data sparsity
- factor analysis
- bayesian networks
- probabilistic matrix factorization
- bayesian inference
- least squares
- image features
- stochastic gradient descent
- tensor factorization
- high dimensional
- binary matrix
- item recommendation
- personalized ranking
- objective function