Stochastic model-based minimization of weakly convex functions.
Damek DavisDmitriy DrusvyatskiyPublished in: CoRR (2018)
Keyphrases
- support vector
- convex functions
- linear program
- objective function
- convex programs
- dc programming
- exact penalty
- convex programming
- convex sets
- piecewise linear
- primal dual
- quasiconvex
- feature selection
- dynamic programming
- linear programming
- lower bound
- markov random field
- np hard
- optimal solution
- reinforcement learning