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Kelvin Hsu

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2010 – 2019

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2019
[c3]
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  - conf/aistats/HsuR19
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Kelvin Hsu, Fabio Ramos:
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. AISTATS 2019: 2631-2640
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Kelvin Hsu, Fabio Ramos:
Bayesian Deconditional Kernel Mean Embeddings. ICML 2019: 2830-2838
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  - journals/corr/abs-1903-00863
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Kelvin Hsu, Fabio Ramos:
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. CoRR abs/1903.00863 (2019)
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  - journals/corr/abs-1906-00199
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Kelvin Hsu, Fabio Ramos:
Bayesian Deconditional Kernel Mean Embeddings. CoRR abs/1906.00199 (2019)
2018
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Kelvin Hsu, Richard Nock, Fabio Ramos:
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds. ECML/PKDD (2) 2018: 227-242
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  - journals/corr/abs-1809-00175
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Kelvin Hsu, Richard Nock, Fabio Ramos:
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds. CoRR abs/1809.00175 (2018)

2000 – 2009

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2000
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  - journals/corr/cs-CE-0011014
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George Yong Liu, Ray F. Zhang, Kelvin Hsu, Lawrence Camilletti:
Chip-level CMP Modeling and Smart Dummy for HDP and Conformal CVD Films. CoRR cs.CE/0011014 (2000)

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