Neural-Kernel Conditional Mean Embeddings.
Eiki ShimizuKenji FukumizuDino SejdinovicPublished in: CoRR (2024)
Keyphrases
- network architecture
- kernel methods
- neural network
- hilbert space
- feature space
- support vector
- kernel function
- vector space
- low dimensional
- component analysis
- nonlinear predictive control
- biologically plausible
- conditional logic
- graph kernels
- multiple kernel learning
- dimensionality reduction
- kernel matrix
- euclidean space
- von neumann
- feature vectors
- random field model
- sparse kernel
- learning algorithm