Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network.
Siqi LiangYan SunFaming LiangPublished in: NeurIPS (2022)
Keyphrases
- dimension reduction
- neural network
- principal component analysis
- manifold embedding
- high dimensional problems
- feature extraction
- high dimensional
- artificial neural networks
- linear discriminant analysis
- nonlinear manifold
- dimensionality reduction
- singular value decomposition
- variable selection
- low dimensional
- data mining and machine learning
- random projections
- high dimensional data analysis
- unsupervised learning
- feature selection
- cluster analysis
- high dimensional data
- partial least squares
- manifold learning
- high dimensionality
- feature space
- pattern recognition
- kernel pca
- nonlinear models
- discriminative information
- preprocessing