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
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
Quantifying Epistemic Predictive Uncertainty in Conformal Prediction
Siu Lun Chau
,
Soroush H. Zargarbashi
,
Yusuf Sale
,
Michele Caprio
ArXiv 2026
Learning Credal Ensembles via Distributionally Robust Optimization
Kaizheng Wang
,
Ghifari Adam Faza
,
Fabio Cuzzolin
,
Siu Lun Chau
,
David Moens
,
Hans Hallez
ArXiv 2026
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
Michele Caprio
,
Katerina Papagiannouli
,
Siu Lun Chau
,
Sayan Mukherjee
Arxiv 2026
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
Arxiv 2026
Instrumental and Proximal Causal Inference with Gaussian Processes
Yuqi Zhang
,
Krikamol Muandet
,
Dino Sejdinovic
,
Edwin Fong
,
Siu Lun Chau
Arxiv 2026
Incentive Aware AI Regulations: A Credal Characterisation
Anurag Singh
,
Julian Rodemann
,
Rajeev Verma
,
Siu Lun Chau
,
Krikamol Muandet
Arxiv 2026
Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities
Anita Yang
,
Krikamol Muandet
,
Michele Caprio
,
Siu Lun Chau
,
Masaki Adachi
Arxiv 2026
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
Arxiv 2026
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
Truthful Elicitation of Imprecise Forecast
Anurag Singh
,
Siu Lun Chau
,
Krikamol Muandet
Conference on Uncertainty in Artificial Intelligence (UAI) 2025
Oral
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Majid Mohammadi
,
Siu Lun Chau
,
Krikamol Muandet
ArXiv 2025
Integral Imprecise Probability Metrics
Siu Lun Chau
,
Michele Caprio
,
Krikamol Muandet
Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
When Do Credal Sets Stablize? Fixed Point Theorems for Credal Set Updates
Michele Caprio
,
Siu Lun Chau
,
Krikamol Muandet
ArXiv 2025