A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings.
Junhyung ParkKrikamol MuandetPublished in: NeurIPS (2020)
Keyphrases
- distance measure
- similarity measure
- kernel methods
- kernel function
- information theory
- dimensionality reduction
- random field model
- hilbert space
- low dimensional
- support vector
- neural network
- feature space
- multiscale
- similarity function
- information content
- face recognition
- component analysis
- kernel learning
- positive definite
- kernel regression
- kernel space
- data sets