Implicit Regularization in Deep Matrix Factorization.
Sanjeev AroraNadav CohenWei HuYuping LuoPublished in: CoRR (2019)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- factorization methods
- missing data
- low rank
- nonnegative matrix factorization
- negative matrix factorization
- data matrix
- factor analysis
- data sparsity
- latent factors
- tensor factorization
- regularization parameter
- factorization method
- probabilistic matrix factorization
- variational bayesian
- implicit feedback
- co occurrence