Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation.
Haoran ZhaoYinghao ZhangDebo ChengChen LiZaiwen FengPublished in: CoRR (2023)
Keyphrases
- dimension reduction
- high dimensional problems
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- data mining and machine learning
- linear discriminant analysis
- low dimensional
- discriminative information
- partial least squares
- unsupervised learning
- cluster analysis
- singular value decomposition
- feature space
- feature selection
- variable selection
- manifold learning
- high dimensionality
- dimensionality reduction
- random projections
- dimension reduction methods
- sparse metric learning
- preprocessing
- data analysis
- data mining
- real world
- supervised learning
- face recognition
- high dimensional data analysis
- neural network