Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
Sungjin AhnAnoop Korattikara BalanNathan LiuSuju RajanMax WellingPublished in: CoRR (2015)
Keyphrases
- matrix factorization
- stochastic gradient
- stochastic gradient descent
- collaborative filtering
- posterior distribution
- markov chain monte carlo
- posterior probability
- negative matrix factorization
- missing data
- recommender systems
- markov chain
- bayesian inference
- nonnegative matrix factorization
- step size
- loss function
- least squares
- factor analysis
- probability distribution
- monte carlo
- nearest neighbor classifier
- random forests
- importance sampling
- particle filtering
- bayesian networks
- bayesian framework
- high dimensional