Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing.
Baturalp YalcinZiye MaJavad LavaeiSomayeh SojoudiPublished in: CoRR (2022)
Keyphrases
- semidefinite programming
- positive semidefinite
- low rank
- kernel matrix
- block diagonal
- semidefinite
- symmetric matrix
- linear programming
- singular value decomposition
- linear matrix inequality
- interior point methods
- convex optimization
- matrix factorization
- maximum margin
- linear combination
- data sets
- primal dual
- missing data
- metric learning
- high dimensional data
- semi supervised
- high order
- dynamic programming
- machine learning