Online Debiasing for Adaptively Collected High-dimensional Data.
Yash DeshpandeAdel JavanmardMohammad MehrabiPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensions
- high dimensionality
- subspace clustering
- data sets
- data points
- data analysis
- original data
- dimension reduction
- high dimensional spaces
- input space
- lower dimensional
- clustering high dimensional data
- manifold learning
- linear discriminant analysis
- high dimensional datasets
- variable selection
- similarity search
- dimensional data
- complex data
- data distribution
- subspace learning
- nonlinear dimensionality reduction
- text data
- feature space
- high dimensional data sets
- decision trees
- small sample size
- neural network