High Dimensional Inference in Partially Linear Models.

Ying Zhu Zhuqing Yu Guang Cheng

Published 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