Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization.
Jui-Nan YenSai Surya DuvvuriInderjit S. DhillonCho-Jui HsiehPublished in: NeurIPS (2023)
Keyphrases
- stochastic optimization
- low rank
- convex optimization
- missing data
- matrix factorization
- matrix completion
- linear combination
- low rank matrix
- singular value decomposition
- semi supervised
- matrix decomposition
- high dimensional data
- multistage
- kernel matrix
- high order
- rank minimization
- singular values
- robust optimization
- pattern recognition
- data matrix
- collaborative filtering
- reinforcement learning