Kelvin Hsu

Publication Activity (10 Years)

Years Active: 2000-2019
Publications (10 Years): 6

Top Topics

Bayesian Learning

Complexity Bounds

Dimensionality Reduction

Top Venues

Publications

Kelvin Hsu, Fabio Ramos
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. CoRR (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Deconditional Kernel Mean Embeddings. CoRR (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. AISTATS (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Deconditional Kernel Mean Embeddings. ICML (2019)
Kelvin Hsu, Richard Nock, Fabio Ramos
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds. ECML/PKDD (2) (2018)
Kelvin Hsu, Richard Nock, Fabio Ramos
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds. CoRR (2018)
George Yong Liu, Ray F. Zhang, Kelvin Hsu, Lawrence Camilletti
Chip-level CMP Modeling and Smart Dummy for HDP and Conformal CVD Films CoRR (2000)