Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces.
Mojmir MutnyAndreas KrausePublished in: NeurIPS (2022)
Keyphrases
- experimental design
- reproducing kernel hilbert space
- active learning
- special case
- hilbert space
- kernel methods
- empirical studies
- loss function
- sample size
- data dependent
- kernel function
- learning theory
- density estimation
- game play
- euclidean space
- machine learning
- gaussian process
- real valued
- support vector
- feature selection
- learning problems
- face images
- linear model
- semi supervised
- domain adaptation
- data sets