Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension.
András GilyénSeth LloydEwin TangPublished in: CoRR (2018)
Keyphrases
- low rank
- quantum inspired
- binary gravitational search algorithm
- convex optimization
- linear combination
- missing data
- matrix factorization
- matrix completion
- quantum computing
- low rank matrix
- rank minimization
- immune clonal
- singular value decomposition
- high dimensional data
- semi supervised
- high order
- mutation operator
- regularized regression
- support vector
- small number
- multi objective