On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression.
Shummin NakayamaJun-ya GotohPublished in: Optim. Lett. (2021)
Keyphrases
- sparse regression
- probabilistic graphical models
- image restoration and reconstruction
- graphical models
- feature selection and classification
- low rank
- linear regression
- convex optimization
- probabilistic inference
- markov random field
- latent variables
- markov networks
- belief propagation
- approximate inference
- first order logic
- parameter learning
- conditional random fields
- neural network
- feature ranking
- linear combination
- sparse matrix
- feature selection
- structure learning
- higher order