Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives.
Raman AroraTeodor V. MarinovEnayat UllahPublished in: CoRR (2020)
Keyphrases
- convex optimization
- interior point methods
- low rank
- total variation
- convex optimization problems
- primal dual
- convex relaxation
- augmented lagrangian
- convex constraints
- operator splitting
- computer vision
- semidefinite program
- convex formulation
- norm minimization
- low rank matrix
- multiple objectives
- objective function
- feature selection