Siu Lun Chau
14 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π Academic Marathon (5)
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π
Century Club
(13)
ποΈ
Keyword Collector
(52)
π₯
Unstoppable
(5)
π
Trend Setter
Conferences
NIPS (6)
AISTATS (3)
AAAI (2)
ICML (2)
UAI (1)
Top co-authors
Keywords
shapley value
(4)
gaussian process
(4)
model interpretability
(3)
preference learning
(2)
uncertainty quantification
(2)
explainable ai
(2)
kernel methods
(2)
kernel mean embedding
(2)
feature attribution
(2)
reproducing kernel hilbert space
(2)
bayesian inference
(2)
kernel matrix
(1)
numerical approximation
(1)
kernel ridge regression
(1)
gaussian process regression
(1)
game theory
(1)
preference modeling
(1)
minimax optimal
(1)
decision maker
(1)
bayesian optimization
(1)
Papers
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
AAAI 2026
Credal Two-Sample Tests of Epistemic Uncertainty
AISTATS 2025
Kernel Quantile Embeddings and Associated Probability Metrics
ICML 2025
Truthful Elicitation of Imprecise Forecasts
UAI 2025
Domain Generalisation via Imprecise Learning
ICML 2024
Causal Strategic Learning with Competitive Selection
AAAI 2024
Looping in the Human: Collaborative and Explainable Bayesian Optimization
AISTATS 2024
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
NIPS 2023
Learning Inconsistent Preferences with Gaussian Processes
AISTATS 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU
NIPS 2022
RKHS-SHAP: Shapley Values for Kernel Methods
NIPS 2022
Explaining Preferences with Shapley Values
NIPS 2022
BayesIMP: Uncertainty Quantification for Causal Data Fusion
NIPS 2021
Deconditional Downscaling with Gaussian Processes
NIPS 2021