Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation.
Haoran ZhaoYinghao ZhangDebo ChengChen LiZaiwen FengPublished in: HPCC/DSS/SmartCity/DependSys (2022)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- singular value decomposition
- variable selection
- high dimensional problems
- unsupervised learning
- high dimensional data
- manifold learning
- partial least squares
- data mining and machine learning
- random projections
- linear discriminant analysis
- discriminative information
- high dimensionality
- feature space
- dimensionality reduction
- feature selection
- high dimensional data analysis
- cluster analysis
- feature points
- qr decomposition
- machine learning