Explaining Neural Matrix Factorization with Gradient Rollback.
Carolin LawrenceTimo SztylerMathias NiepertPublished in: AAAI (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- low rank
- recommender systems
- negative matrix factorization
- factorization methods
- nonnegative matrix factorization
- missing data
- variational bayesian
- data sparsity
- data matrix
- stochastic gradient descent
- factor analysis
- implicit feedback
- probabilistic matrix factorization
- tensor factorization
- image representation