Distributionally Robust Convex Optimization.
Wolfram WiesemannDaniel KuhnMelvyn SimPublished in: Oper. Res. (2014)
Keyphrases
- convex optimization
- norm minimization
- low rank matrix
- interior point methods
- low rank
- primal dual
- total variation
- robust optimization
- augmented lagrangian
- convex relaxation
- convex optimization problems
- convex constraints
- object recognition
- machine learning
- operator splitting
- semi definite programming
- convex formulation
- higher order
- wavelet transform
- high resolution
- multiresolution
- feature space
- high quality
- image processing