Efficient Sparse Linear Bandits under High Dimensional Data.
Xue WangMike Mingcheng WeiTao YaoPublished in: KDD (2023)
Keyphrases
- high dimensional data
- sparse linear
- dimensionality reduction
- low dimensional
- low rank
- high dimensional
- subspace clustering
- high dimensionality
- data points
- nearest neighbor
- data sets
- data analysis
- dimension reduction
- manifold learning
- similarity search
- data distribution
- original data
- least squares
- sparse representation
- missing values
- linear discriminant analysis
- high dimensional spaces
- high dimensional datasets
- database
- training data
- input data
- text mining
- principal component analysis
- pattern recognition
- sparse matrix
- feature extraction