The Convergence Guarantees of a Non-convex Approach for Sparse Recovery.
Laming ChenYuantao GuPublished in: CoRR (2012)
Keyphrases
- convergence proof
- convex optimization
- global optimality
- convergence speed
- high dimensional
- theoretical guarantees
- bregman divergences
- convergence rate
- piecewise linear
- globally convergent
- convex hull
- compressive sensing
- stationary points
- image recovery
- iterative algorithms
- recovery algorithm
- convex functions
- sparse data
- neural network
- canonical correlation analysis
- data sets
- failure recovery