High-Dimensional Experimental Design and Kernel Bandits.
Romain CamilleriJulian Katz-SamuelsKevin G. JamiesonPublished in: CoRR (2021)
Keyphrases
- experimental design
- high dimensional
- kernel function
- feature space
- active learning
- experimental designs
- empirical studies
- sample size
- low dimensional
- high dimensionality
- dimensionality reduction
- feature selection
- nearest neighbor
- kernel methods
- training samples
- game play
- collaborative learning
- class imbalance
- data points
- support vector