SC
Siu Lun Chau
cs.LGstat.MLcs.AImath.STstat.THmath.PRstat.MEcs.GTcs.HCcs.MA
On Valency
published · living versionsW_qjnbn88u·v1 · currentpublished
Dynamic language model representations for multi-objective reaction optimisation
with Joshua W. Sin, David Ming Segura, Bojana Ranković, Marius D. R. Lutz +6
1 version
Preprints & journals
36 papers in the corpus · 2020–2026Open-ended Scientific Discovery with Possibilistic Reasoning2610.11289v1 · Anita Yang, Siu Lun Chau, Tomoya Wakayama et al.2026 · 0 citationsarXiv
Epistemic Learning from Imprecise Annotation2609.34285v1 · Kaizheng Wang, Siu Lun Chau2026 · 0 citationsarXiv
Dynamic language model representations for multi-objective reaction optimisation2609.11790v1 · Joshua W. Sin, David Ming Segura, Bojana Rankovi'c et al.2026 · 0 citationsarXivon Valency
Off-Policy Evaluation with Strategic Agents via Local Disclosure2606.07308v1 · Kiet Q. H. Vo, Abbavaram Gowtham Reddy, Julian Rodemann et al.2026 · 0 citationsarXiv
QuadraSHAP: -Exact Shapley Values for Product Games in Logarithmic Parallel Time2605.05870v4 · Majid Mohammadi, Grigory Reznikov, Pavel Sinitcyn et al.2026 · 0 citationsarXiv
Measuring Differences between Conditional Distributions using Kernel Embeddings2605.02260v2 · Peter Moskvichev, Siu Lun Chau, Dino Sejdinovic2026 · 0 citationsarXiv
Quantification of Credal Uncertainty: A Distance-Based Approach2603.27270v2 · Xabier Gonzalez-Garcia, Siu Lun Chau, Julian Rodemann et al.2026 · 0 citationsarXiv
Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities2603.10396v2 · Anita Yang, Krikamol Muandet, Michele Caprio et al.2026 · 0 citationsarXiv
Incentive Aware AI Regulations: A Credal Characterisation2603.05175v2 · Anurag Singh, Julian Rodemann, Rajeev Verma et al.2026 · 0 citationsarXiv
Instrumental and Proximal Causal Inference with Gaussian Processes2603.02159v2 · Yuqi Zhang, Krikamol Muandet, Dino Sejdinovic et al.2026 · 0 citationsarXiv
Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study2602.22747v2 · Kaizheng Wang, Yunjia Wang, Fabio Cuzzolin et al.2026 · 0 citationsarXiv
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features2602.19126v2 · Michele Caprio, Katerina Papagiannouli, Siu Lun Chau et al.2026 · 0 citationsarXiv
Learning Credal Ensembles via Distributionally Robust Optimization2602.08470v3 · Kaizheng Wang, Ghifari Adam Faza, Fabio Cuzzolin et al.2026 · 0 citationsarXiv
Beyond Prediction-Set Size: Quantifying Conformal Uncertainty through Credal Geometry2602.01667v2 · Siu Lun Chau, Soroush H. Zargarbashi, Yusuf Sale et al.2026 · 0 citationsarXiv
When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates2510.04769v2 · Michele Caprio, Siu Lun Chau, Krikamol Muandet2025 · 0 citationsarXiv
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes2508.14499v1 · Majid Mohammadi, Krikamol Muandet, Ilaria Tiddi et al.2025 · 0 citationsarXiv
Highly parallel optimisation of chemical reactions through automation and machine intelligence.40651950 · Sin, Joshua W, Chau, Siu Lun, Burwood, Ryan P et al.2025 · 32 citationsNature communications. 2025;16(1):6464
Kernel Quantile Embeddings and Associated Probability Metrics2505.20433v1 · Masha Naslidnyk, Siu Lun Chau, Francois-Xavier Briol et al.2025 · 0 citationsarXiv
Integral Imprecise Probability Metrics2505.16156v3 · Siu Lun Chau, Michele Caprio, Krikamol Muandet2025 · 0 citationsarXiv
Amortized Linear-time Exact Shapley Value for Product-Kernel Methods2505.16516v3 · Majid Mohammadi, Siu Lun Chau, Krikamol Muandet2025 · 0 citationsarXiv
Truthful Elicitation of Imprecise Forecasts2503.16395v4 · Anurag Singh, Siu Lun Chau, Krikamol Muandet2025 · 0 citationsarXiv
Bayesian Optimization for Building Social-Influence-Free Consensus2502.07166v1 · Masaki Adachi, Siu Lun Chau, Wenjie Xu et al.2025 · 0 citationsarXiv
Explanation Design in Strategic Learning: Sufficient Explanations that Induce Non-harmful Responses2502.04058v2 · Kiet Q. H. Vo, Siu Lun Chau, Masahiro Kato et al.2025 · 0 citationsarXiv
Credal Two-Sample Tests of Epistemic Uncertainty2410.12921v2 · Siu Lun Chau, Antonin Schrab, Arthur Gretton et al.2024 · 0 citationsarXiv
Domain Generalisation via Imprecise Learning2404.04669v2 · Anurag Singh, Siu Lun Chau, Shahine Bouabid et al.2024 · 1 citationarXiv
Looping in the Human Collaborative and Explainable Bayesian Optimization2310.17273v5 · Masaki Adachi, Brady Planden, David A. Howey et al.2023 · 5 citationsAISTATS 238, 505--513, 2024
Causal Strategic Learning with Competitive Selection2308.16262v3 · Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau et al.2023 · 2 citationsarXiv
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models2305.15167v1 · Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic2023 · 7 citationsarXiv
Explaining Preferences with Shapley Values2205.13662v2 · Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas et al.2022 · 4 citationsarXiv
Giga-scale Kernel Matrix Vector Multiplication on GPU2202.01085v4 · Robert Hu, Siu Lun Chau, Dino Sejdinovic et al.2022 · 1 citationarXiv
RKHS-SHAP: Shapley Values for Kernel Methods2110.09167v2 · Siu Lun Chau, Robert Hu, Javier Gonzalez et al.2021 · 17 citationsarXiv
BayesIMP: Uncertainty Quantification for Causal Data Fusion2106.03477v1 · Siu Lun Chau, Jean-Francois Ton, Javier Gonz'alez et al.2021 · 3 citationsarXiv
Deconditional Downscaling with Gaussian Processes2105.12909v3 · Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic2021 · 9 citationsarXiv
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint2008.10065v1 · Xingyue Pu, Siu Lun Chau, Xiaowen Dong et al.2020 · 20 citationsIEEE Transactions on Signal and Information Processing over Networks, 2021
Learning Inconsistent Preferences with Gaussian Processes2006.03847v3 · Siu Lun Chau, Javier Gonz'alez, Dino Sejdinovic2020 · 0 citationsarXiv
Spectral Ranking with Covariates2005.04035v3 · Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic2020 · 8 citationsarXiv
Career total: 48 works. 36 are in this corpus.
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