Local Search Algorithms for Rank-Constrained Convex Optimization.
Kyriakos AxiotisMaxim SviridenkoPublished in: ICLR (2021)
Keyphrases
- convex optimization
- search algorithm
- low rank
- interior point methods
- primal dual
- convex relaxation
- norm minimization
- convex optimization problems
- convex formulation
- total variation
- semidefinite program
- nuclear norm
- rank aggregation
- interior point
- convex constraints
- singular values
- missing data
- machine learning algorithms