2026

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes

Majid Mohammadi , Krikamol Muandet , Ilaria Tiddi , Annette Ten Teije , Siu Lun Chau

Annual AAAI Conference on Artificial Intelligence (AAAI) 2026

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Explanation Design in Strategic Learning: Sufficient Explanations that Induce Non-harmful Responses

Kiet Q.H. Vo , Siu Lun Chau , Masahiro Kato , Yixin Wang , Krikamol Muandet

Annual Conference on Artificial Intelligence and Statistics (AISTATS) 2026

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Quantifying Epistemic Predictive Uncertainty in Conformal Prediction

Siu Lun Chau , Soroush H. Zargarbashi , Yusuf Sale , Michele Caprio

ArXiv 2026

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Learning Credal Ensembles via Distributionally Robust Optimization

Kaizheng Wang , Ghifari Adam Faza , Fabio Cuzzolin , Siu Lun Chau , David Moens , Hans Hallez

International Conference on Machine Learning (ICML) 2026 Spotlight

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Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features

Michele Caprio , Katerina Papagiannouli , Siu Lun Chau , Sayan Mukherjee

Conference on Uncertainty in Artificial Intelligence (UAI) 2026

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Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study

Kaizheng Wang , Yunjia Wang , Fabio Cuzzolin , David Moens , Hans Hallez , Siu Lun Chau

Conference on Uncertainty in Artificial Intelligence (UAI) 2026

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Instrumental and Proximal Causal Inference with Gaussian Processes

Yuqi Zhang , Krikamol Muandet , Dino Sejdinovic , Edwin Fong , Siu Lun Chau

Conference on Uncertainty in Artificial Intelligence (UAI) 2026

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Incentive Aware AI Regulations: A Credal Characterisation

Anurag Singh , Julian Rodemann , Rajeev Verma , Siu Lun Chau , Krikamol Muandet

Arxiv 2026

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Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities

Anita Yang , Krikamol Muandet , Michele Caprio , Siu Lun Chau , Masaki Adachi

Conference on Uncertainty in Artificial Intelligence (UAI) 2026

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Quantification of Credal Quantification of Credal Uncertainty: A Distance-based Approach

Xabier Gonzalez-Garcia , Siu Lun Chau , Julian Rodemann , Michele Caprio , Krikamol Muandet , Humberto Bustince , Sébastien Destercke , Eyke Hüllermeier , Yusuf Sale

Conference on Uncertainty in Artificial Intelligence (UAI) 2026

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Off-Policy Evaluation with Strategic Agents via Local Disclosure

Kiet Q.H. Vo , Abbavaram Gowtham Reddy , Julian Rodemann , Siu Lun Chau , Krikamol Muandet

International Conference on Machine Learning (ICML) 2026

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Measuring Differences between Conditional Distributions using Kernel Embeddings

Peter Moskvichev , Siu Lun Chau , Dino Sejdinovic

Arxiv 2026

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QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss–Legendre Quadrature

Majid Mohammadi , Grigory Reznikov , Pavel Sinitcyn , Krikamol Muandet , Siu Lun Chau

Arxiv 2026

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Amortized Linear-time Exact Shapley Value for Product-Kernel Methods

Majid Mohammadi* , Siu Lun Chau* , Krikamol Muandet (* equal contribution)

Arxiv 2026

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Dynamic Large Language Model Representations for Multi-objective Chemical Reaction Optimisation

Joshua W. Sin , David Ming Seguran , Bojana Ranković , Siu Lun Chau , Ryan P. Burwood , Kurt Püntener , Raphael Bigler , Philippe Schwaller

ICML 2026 AI for Science Workshop

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How do Consonance Constructions Shape Conformal Credal Sets?

Chun Ho Chong , Kaizheng Wang , Michele Caprio , Siu Lun Chau

ICML 2026 Epistemic Intelligence in Machine Learning Workshop

2025

Kernel Quantile Embedding and Associated Probability Metircs

Masha Naslidnyk , Siu Lun Chau , Francois-Xavier Briol , Krikamol Muandet

International Conference on Machine Learning (ICML) 2025

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Truthful Elicitation of Imprecise Forecast

Anurag Singh , Siu Lun Chau , Krikamol Muandet

Conference on Uncertainty in Artificial Intelligence (UAI) 2025 Oral

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Integral Imprecise Probability Metrics

Siu Lun Chau , Michele Caprio , Krikamol Muandet

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

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When Do Credal Sets Stablize? Fixed Point Theorems for Credal Set Updates

Michele Caprio , Siu Lun Chau , Krikamol Muandet

ArXiv 2025

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