Non-geodesically-convex optimization in the Wasserstein space.
Hoang Phuc Hau LuuHanlin YuBernardo WilliamsPetrus MikkolaMarcelo HartmannKai PuolamäkiArto KlamiPublished in: CoRR (2024)
Keyphrases
- convex optimization
- interior point methods
- primal dual
- operator splitting
- convex optimization problems
- augmented lagrangian
- low rank
- convex relaxation
- convex formulation
- total variation
- norm minimization
- semi definite programming
- input space
- multiscale
- high dimensional data
- low dimensional
- basis pursuit
- semidefinite program
- high resolution