Παρακολούθηση
Chau Siu Lun
Chau Siu Lun
Postdoc at CISPA - Helmholtz Center for Information Security
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cispa.de - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Deconditional Downscaling with Gaussian Processes
SL Chau, S Bouabid, D Sejdinovic
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
272021
RKHS-SHAP: Shapley Values for Kernel Methods
SL Chau, R Hu, J Gonzalez, D Sejdinovic
2022 Conference on Neural Information Processing Systems, 2022
262022
Kernel-based graph learning from smooth signals: A functional viewpoint
X Pu, SL Chau, X Dong, D Sejdinovic
IEEE Transactions on Signal and Information Processing over Networks 7, 192-207, 2021
222021
BayesIMP: Uncertainty Quantification for Causal Data Fusion
SL Chau, JF Ton, J González, YW Teh, D Sejdinovic
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
212021
Looping in the Human: Collaborative and Explainable Bayesian Optimization
M Adachi, B Planden, DA Howey, K Maundet, MA Osborne, SL Chau
27th International Conference on Artificial Intelligence and Statistics, 2024
142024
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
SL Chau, K Muandet, D Sejdinovic
(spotlight) Advances in Neural Information Processing Systems 36, 2024
142024
Spectral ranking with covariates
SL Chau, M Cucuringu, D Sejdinovic
European Conference on Machine Learning and Principles and Practice of …, 2022
122022
Explaining Preferences with Shapley Values
H Robert, SL Chau, JF Huertas, D Sejdinovic
2022 Conference on Neural Information Processing Systems, 2022
9*2022
Learning Inconsistent Preferences with Gaussian Processes
SL Chau, J González, D Sejdinovic
AISTATS 2022, 2022
9*2022
Gated Domain Units for Multi-source Domain Generalization
S Föll, A Dubatovka, E Ernst, SL Chau, M Maritsch, P Okanovic, G Thäter, ...
Transactions on Machine Learning Research, 2022
52022
Credal two-sample tests of epistemic ignorance
SL Chau, A Schrab, A Gretton, D Sejdinovic, K Muandet
arXiv preprint arXiv:2410.12921, 2024
32024
Domain Generalisation via Imprecise Learning
A Singh, SL Chau, S Bouabid, K Muandet
(spotlight) International Conference on Machine Learning 2024, 2024
32024
Causal Strategic Learning with Competitive Selection
KQH Vo, M Aadil, SL Chau, K Muandet
(oral) The 38th Annual AAAI Conference on Artificial Intelligence, 2024
22024
Giga-scale Kernel Matrix Vector Multiplication on GPU
R Hu, SL Chau, D Sejdinovic, JA Glaunès
2022 Conference on Neural Information Processing Systems, 2022
22022
Highly Parallel Optimisation of Nickel-Catalysed Suzuki Reactions through Automation and Machine Intelligence
JW Sin, SL Chau, RP Burwood, K Püntener, R Bigler, P Schwaller
12024
Bayesian Optimization for Building Social-Influence-Free Consensus
M Adachi, SL Chau, W Xu, A Singh, MA Osborne, K Muandet
arXiv preprint arXiv:2502.07166, 2025
2025
Strategic Learning with Local Explanations as Feedback
KQH Vo, SL Chau, M Kato, Y Wang, K Muandet
arXiv preprint arXiv:2502.04058, 2025
2025
Towards Trustworthy Machine Learning with Kernels
SL Chau
University of Oxford, 2023
2023
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