Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
Sungjin AhnAnoop KorattikaraNathan LiuSuju RajanMax WellingPublished in: KDD (2015)
Keyphrases
- matrix factorization
- stochastic gradient
- stochastic gradient descent
- collaborative filtering
- posterior distribution
- recommender systems
- posterior probability
- markov chain monte carlo
- missing data
- loss function
- factor analysis
- importance sampling
- nonnegative matrix factorization
- monte carlo
- negative matrix factorization
- least squares
- bayesian inference
- markov chain
- step size
- bayesian networks
- probability distribution
- bayesian framework
- support vector machine
- topic models
- nearest neighbor classifier
- parameter estimation
- generative model