More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming.
Vo Nguyen Le DuyIchiro TakeuchiPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- programming language
- nonmonotonic inference
- feature selection
- bayesian networks
- random field model
- probabilistic inference
- sparse representation
- high level
- inference process
- computer programming
- linear regression
- variable selection
- cross validation
- programming course
- least squares
- probability distribution
- multiscale
- bayesian inference
- nonmonotonic reasoning
- multi task learning
- group lasso
- graphical structure