Implicit Regularization in Matrix Factorization.
Suriya GunasekarBlake E. WoodworthSrinadh BhojanapalliBehnam NeyshaburNati SrebroPublished in: NIPS (2017)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- low rank
- missing data
- nonnegative matrix factorization
- factorization methods
- factor analysis
- data sparsity
- negative matrix factorization
- data matrix
- implicit feedback
- regularization parameter
- tensor factorization
- item recommendation
- variational bayesian
- feature extraction
- factorization method
- matrix completion
- multiscale
- binary matrix
- image segmentation