Alternating Minimization Converges Super-Linearly for Mixed Linear Regression.
Avishek GhoshKannan RamchandranPublished in: AISTATS (2020)
Keyphrases
- linear regression
- alternating minimization
- spatially varying
- least squares
- total variation
- kullback leibler divergence
- point spread function
- compressive sensing
- map estimation
- photometric stereo
- nonlinear regression
- regularization parameter
- machine learning
- image restoration
- maximum likelihood
- distance measure
- denoising
- similarity measure