High Dimensional Inference in Partially Linear Models.
Ying ZhuZhuqing YuGuang ChengPublished in: AISTATS (2019)
Keyphrases
- linear models
- variable selection
- high dimensional
- additive models
- linear model
- low dimensional
- gaussian processes
- linear regression
- feature space
- high dimensional data
- nearest neighbor
- probabilistic inference
- cross validation
- nonlinear models
- model selection
- bayesian networks
- dimension reduction
- bayesian inference
- parameter space
- feature selection
- dimensionality reduction
- least squares
- semi supervised