Semiparametric causal sufficient dimension reduction of multidimensional treatments.
Razieh NabiTodd McNuttIlya ShpitserPublished in: UAI (2022)
Keyphrases
- dimension reduction
- semi parametric
- feature extraction
- principal component analysis
- singular value decomposition
- least squares
- density estimation
- feature selection
- statistical inference
- regression model
- high dimensional
- high dimensional data
- cluster analysis
- high dimensionality
- manifold learning
- regression problems
- linear model
- bayesian networks
- unsupervised learning
- constrained optimization
- low dimensional
- linear discriminant analysis
- dimensionality reduction
- policy evaluation
- feature space
- preprocessing
- cross validation
- input space
- data points
- parametric models
- pattern recognition
- computer vision
- neural network
- data sets