Implicit Regularization in Matrix Factorization.
Suriya GunasekarBlake E. WoodworthSrinadh BhojanapalliBehnam NeyshaburNathan SrebroPublished in: CoRR (2017)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- low rank
- missing data
- data sparsity
- factor analysis
- nonnegative matrix factorization
- variational bayesian
- factorization methods
- negative matrix factorization
- item recommendation
- data matrix
- probabilistic matrix factorization
- personalized ranking
- tensor factorization
- latent factors
- factorization method
- regularization parameter
- implicit feedback
- least squares