Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization.
Adithya M. DevrajJianshu ChenPublished in: CoRR (2019)
Keyphrases
- primal dual
- interior point
- convex optimization problems
- simplex algorithm
- linear programming
- optimization problems
- optimization methods
- affine scaling
- convergence rate
- machine learning
- approximation algorithms
- interior point methods
- combinatorial optimization
- natural images
- semidefinite programming
- high resolution
- computational complexity
- multiscale