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Siu Lun Chau

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Looping in the Human: Collaborative and Explainable Bayesian Optimization

Nov 06, 2023
Masaki Adachi, Brady Planden, David A. Howey, Krikamol Muandet, Michael A. Osborne, Siu Lun Chau

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Causal Strategic Learning with Competitive Selection

Sep 05, 2023
Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet

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Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models

May 24, 2023
Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic

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Explaining Preferences with Shapley Values

May 26, 2022
Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic

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RKHS-SHAP: Shapley Values for Kernel Methods

Oct 18, 2021
Siu Lun Chau, Javier Gonzalez, Dino Sejdinovic

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BayesIMP: Uncertainty Quantification for Causal Data Fusion

Jun 07, 2021
Siu Lun Chau, Jean-François Ton, Javier González, Yee Whye Teh, Dino Sejdinovic

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Deconditional Downscaling with Gaussian Processes

Jun 05, 2021
Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic

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