Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization.
Nicolas GillisPunit SharmaPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- factorization methods
- low rank
- data sparsity
- optimization problems
- collaborative filtering
- combinatorial optimization
- recommender systems
- stochastic gradient descent
- negative matrix factorization
- factorization method
- data matrix
- nonnegative matrix factorization
- graph coloring
- variational bayesian
- constrained optimization
- linear systems
- missing data
- matrix completion
- low rank matrix