Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation.
Zakhar ShumaylovJeremy BuddSubhadip MukherjeeCarola-Bibiane SchönliebPublished in: CoRR (2024)
Keyphrases
- convex optimization
- inverse problems
- primal dual
- critical points
- interior point methods
- linear programming problems
- vector field
- scale space
- convergence rate
- variational inequalities
- semidefinite programming
- interior point
- total variation
- convex sets
- algorithm for linear programming
- saddle point
- feature points
- multiscale
- metaheuristic
- lower bound
- pattern recognition
- three dimensional