Implicit Regularization in Matrix Factorization.
Suriya GunasekarBlake E. WoodworthSrinadh BhojanapalliBehnam NeyshaburNathan SrebroPublished in: ITA (2018)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- low rank
- factorization methods
- missing data
- recommender systems
- negative matrix factorization
- factor analysis
- item recommendation
- data sparsity
- nonnegative matrix factorization
- tensor factorization
- regularization parameter
- personalized ranking
- data matrix
- variational bayesian
- latent factor models
- manifold regularization
- matrix completion
- implicit feedback
- text mining
- probabilistic matrix factorization