Convergence of Alternating Gradient Descent for Matrix Factorization.
Rachel A. WardTamara G. KoldaPublished in: NeurIPS (2023)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- low rank
- missing data
- nonnegative matrix factorization
- factorization methods
- convergence rate
- cost function
- step size
- negative matrix factorization
- objective function
- data sparsity
- data matrix
- probabilistic matrix factorization
- variational bayesian
- factor analysis
- item recommendation
- convergence speed
- loss function
- personalized ranking
- factorization method
- data sets
- operator splitting
- tensor factorization
- latent factors
- implicit feedback
- text mining
- least squares
- feature extraction