Minimax Rank-$1$ Matrix Factorization.
Venkatesh SaligramaAlexander OlshevskyJulien M. HendrickxPublished in: AISTATS (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- missing data
- low rank
- negative matrix factorization
- recommender systems
- data sparsity
- factorization methods
- factor analysis
- nonnegative matrix factorization
- stochastic gradient descent
- data sets
- data matrix
- implicit feedback
- variational bayesian
- co occurrence
- tensor factorization
- low rank matrix
- item recommendation
- personalized ranking
- linear combination
- worst case
- support vector machine
- object recognition