Implicit Regularization in Deep Matrix Factorization.
Sanjeev AroraNadav CohenWei HuYuping LuoPublished in: NeurIPS (2019)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- missing data
- low rank
- nonnegative matrix factorization
- factorization methods
- negative matrix factorization
- factor analysis
- data sparsity
- tensor factorization
- variational bayesian
- regularization parameter
- latent factor models
- binary matrix
- item recommendation