Safe Screening for Sparse Regression with the Kullback-Leibler Divergence.
Cássio F. DantasEmmanuel SoubiesCédric FévottePublished in: ICASSP (2021)
Keyphrases
- kullback leibler divergence
- sparse regression
- feature selection and classification
- mutual information
- information theory
- low rank
- information theoretic
- probability density function
- linear regression
- distance measure
- marginal distributions
- feature selection
- diffusion tensor
- missing data
- data sets
- model selection
- matrix factorization
- collaborative filtering
- image registration
- multiscale