Kelvin Hsu

Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds

2018 · arXiv (Cornell University)

Conditional kernel mean embeddings are nonparametric models that encode conditional expectations in a reproducing kernel Hilbert space. While they provide a flexible and powerful framework for probabilistic inference, their performance is highly dependent on the …