Estimating Propensity Scores with Deep Adaptive Variable Selection.
Zhixuan ChuMechelle ClaridyJosé CorderoSheng LiStephen L. RathbunPublished in: SDM (2023)
Keyphrases
- variable selection
- input variables
- high dimensional
- cross validation
- stochastic search
- linear models
- model selection
- dimension reduction
- group lasso
- ensemble selection
- sparsity inducing
- high dimensional data
- pattern recognition
- feature selection
- computer vision
- number of input variables
- high dimensionality
- logistic regression models
- neural network
- regression model
- data mining