Siu Lun Chau

CoRR, May, 2026

Quantification of Credal Uncertainty: A Distance-Based Approach.

[BibT_eX]

[DOI]

Xabier Gonzalez-Garcia

CoRR, March, 2026

Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities.

[BibT_eX]

[DOI]

CoRR, March, 2026

Incentive Aware AI Regulations: A Credal Characterisation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Instrumental and Proximal Causal Inference with Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, March, 2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features.

[BibT_eX]

[DOI]

Katerina Papagiannouli

Sayan Mukherjee

CoRR, February, 2026

Learning Credal Ensembles via Distributionally Robust Optimization.

[BibT_eX]

[DOI]

CoRR, February, 2026

Quantifying Epistemic Predictive Uncertainty in Conformal Prediction.

[BibT_eX]

[DOI]

Soroush H. Zargarbashi

Yusuf Sale

CoRR, February, 2026

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates.

[BibT_eX]

[DOI]

CoRR, October, 2025

Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods.

[BibT_eX]

[DOI]

Majid Mohammadi

CoRR, May, 2025

Bayesian Optimization for Building Social-Influence-Free Consensus.

[BibT_eX]

[DOI]

CoRR, February, 2025

Strategic Learning with Local Explanations as Feedback.

[BibT_eX]

[DOI]

CoRR, February, 2025

Truthful Elicitation of Imprecise Forecasts.

[BibT_eX]

[DOI]

Anurag Singh

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Integral Imprecise Probability Metrics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Kernel Quantile Embeddings and Associated Probability Metrics.

[BibT_eX]

[DOI]

Masha Naslidnyk

François-Xavier Briol

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Credal Two-Sample Tests of Epistemic Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Credal Two-Sample Tests of Epistemic Ignorance.

[BibT_eX]

[DOI]

CoRR, 2024

Domain Generalisation via Imprecise Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Looping in the Human: Collaborative and Explainable Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Causal Strategic Learning with Competitive Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Gated Domain Units for Multi-source Domain Generalization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Looping in the Human: Collaborative and Explainable Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Spectral Ranking with Covariates.

[BibT_eX]

[DOI]

Mihai Cucuringu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Giga-scale Kernel Matrix-Vector Multiplication on GPU.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explaining Preferences with Shapley Values.

[BibT_eX]

[DOI]

Robert Hu

Jaime Ferrando Huertas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RKHS-SHAP: Shapley Values for Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Inconsistent Preferences with Gaussian Processes.

[BibT_eX]

[DOI]

Javier González

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2021

RKHS-SHAP: Shapley Values for Kernel Methods.

[BibT_eX]

[DOI]

Javier González

CoRR, 2021

BayesIMP: Uncertainty Quantification for Causal Data Fusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deconditional Downscaling with Gaussian Processes.

[BibT_eX]

[DOI]

Shahine Bouabid

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Inconsistent Preferences with Kernel Methods.

[BibT_eX]

[DOI]

Javier González