Publications | Rational Intelligence Lab

(*,† indicate equal contributions)

2025

Regulation

Strategic Learning with Local Explanations as Feedback

Kiet QH Vo , Siu Lun Chau , Masahiro Kato , Yixin Wang , Krikamol Muandet

arXiv preprint arXiv:2502.04058, 2025

DOI Bib PDF Code

@article{vo2025strategic,
  title = {Strategic Learning with Local Explanations as Feedback},
  author = {Vo, Kiet QH and Chau, Siu Lun and Kato, Masahiro and Wang, Yixin and Muandet, Krikamol},
  journal = {arXiv preprint arXiv:2502.04058},
  year = {2025},
  doi = {10.48550/arXiv.2502.04058},
}

Bayesian Opt.

Bayesian Optimization for Building Social-Influence-Free Consensus

Masaki Adachi , Siu Lun Chau , Wenjie Xu , Anurag Singh , Michael A Osborne , Krikamol Muandet

arXiv preprint arXiv:2502.07166, 2025

DOI Bib PDF

@article{adachi2025bayesian,
  title = {Bayesian Optimization for Building Social-Influence-Free Consensus},
  author = {Adachi, Masaki and Chau, Siu Lun and Xu, Wenjie and Singh, Anurag and Osborne, Michael A and Muandet, Krikamol},
  journal = {arXiv preprint arXiv:2502.07166},
  year = {2025},
  doi = {10.48550/arXiv.2502.07166},
}

Causality
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Aniket Vashishtha , Abbavaram Gowtham Reddy , Abhinav Kumar , Saketh Bachu , Vineeth N Balasubramanian , Amit Sharma

In The Thirteenth International Conference on Learning Representations, 2025

DOI Bib PDF
@inproceedings{vashishthacausal, title = {Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference}, author = {Vashishtha, Aniket and Reddy, Abbavaram Gowtham and Kumar, Abhinav and Bachu, Saketh and Balasubramanian, Vineeth N and Sharma, Amit}, booktitle = {The Thirteenth International Conference on Learning Representations}, year = {2025}, doi = {9juyeCqL0u}, }

Testing

Credal Two-sample Tests of Epistemic Ignorance

Siu Lun Chau , Antonin Schrab , Arthur Gretton , Dino Sejdinovic , Krikamol Muandet

In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025, 2025

DOI Bib PDF

@inproceedings{credal2025,
  title = {Credal Two-sample Tests of Epistemic Ignorance},
  author = {Chau, Siu Lun and Schrab, Antonin and Gretton, Arthur and Sejdinovic, Dino and Muandet, Krikamol},
  booktitle = {Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025},
  year = {2025},
  publisher = {PMLR},
  doi = {10.48550/arXiv.2410.12921}
}

2024

Causality

Causal strategic learning with competitive selection

Kiet QH Vo , Muneeb Aadil , Siu Lun Chau , Krikamol Muandet

In Proceedings of the AAAI Conference on Artificial Intelligence, 2024

Oral Bib PDF Code Poster

Oral Presentation at AAAI 2024

@inproceedings{vo2024causal,
  title = {Causal strategic learning with competitive selection},
  author = {Vo, Kiet QH and Aadil, Muneeb and Chau, Siu Lun and Muandet, Krikamol},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {38},
  number = {14},
  pages = {15411--15419},
  year = {2024},
}

Prediction

Domain Generalisation via Imprecise Learning

Anurag Singh , Siu Lun Chau , Shahine Bouabid , Krikamol Muandet

In International Conference on Machine Learning, 2024

Spotlight Bib PDF Code Poster

Spotlight Presentation at ICML 2024

@inproceedings{singh2024domain,
  title = {Domain Generalisation via Imprecise Learning},
  author = {Singh, Anurag and Chau, Siu Lun and Bouabid, Shahine and Muandet, Krikamol},
  booktitle = {International Conference on Machine Learning},
  pages = {45544--45570},
  year = {2024},
  organization = {PMLR},
}

Prediction

Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections

Anurag Singh* , Mahalakshmi Sabanayagam* , Krikamol Muandet , Debarghya Ghoshdastidar

Transactions on Machine Learning Research, 2024

Bib PDF

@article{singhrobust,
  title = {Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections},
  author = {Singh, Anurag and Sabanayagam, Mahalakshmi and Muandet, Krikamol and Ghoshdastidar, Debarghya},
  journal = {Transactions on Machine Learning Research},
  year = {2024},
}

Bayesian Opt.
Highly Parallel Optimisation of Nickel-Catalysed Suzuki Reactions through Automation and Machine Intelligence

Joshua W Sin , Siu Lun Chau , Ryan P Burwood , Kurt Püntener , Raphael Bigler , Philippe Schwaller

2024

DOI Bib PDF
@article{sin2024highly, title = {Highly Parallel Optimisation of Nickel-Catalysed Suzuki Reactions through Automation and Machine Intelligence}, author = {Sin, Joshua W and Chau, Siu Lun and Burwood, Ryan P and P{\"u}ntener, Kurt and Bigler, Raphael and Schwaller, Philippe}, year = {2024}, doi = {10.26434/chemrxiv-2024-m12s4} }
Causality
Learning Counterfactually Invariant Predictors

Francesco Quinzan , Cecilia Casolo , Krikamol Muandet , Yucen Luo , Niki Kilbertus

Transactions on Machine Learning Research, 2024

Bib PDF
@article{quinzanlearning, title = {Learning Counterfactually Invariant Predictors}, author = {Quinzan, Francesco and Casolo, Cecilia and Muandet, Krikamol and Luo, Yucen and Kilbertus, Niki}, journal = {Transactions on Machine Learning Research}, year = {2024}, }

Bayesian Opt.

Looping in the Human: Collaborative and Explainable Bayesian Optimization

Masaki Adachi , Brady Planden , David Howey , Michael A Osborne , Sebastian Orbell , Natalia Ares , Krikamol Muandet , Siu Lun Chau

In International Conference on Artificial Intelligence and Statistics, 2024

DOI Bib PDF Poster

@inproceedings{adachi2024looping,
  title = {Looping in the Human: Collaborative and Explainable Bayesian Optimization},
  author = {Adachi, Masaki and Planden, Brady and Howey, David and Osborne, Michael A and Orbell, Sebastian and Ares, Natalia and Muandet, Krikamol and Chau, Siu Lun},
  booktitle = {International Conference on Artificial Intelligence and Statistics},
  pages = {505--513},
  year = {2024},
  organization = {PMLR},
  doi = {10.48550/arXiv.2310.17273}
}

2023

Causality

Instrumental variable regression via kernel maximum moment loss

Rui Zhang , Masaaki Imaizumi , Bernhard Schölkopf , Krikamol Muandet

Journal of Causal Inference, 2023

DOI Bib PDF Code

@article{zhang2023instrumental,
  title = {Instrumental variable regression via kernel maximum moment loss},
  author = {Zhang, Rui and Imaizumi, Masaaki and Sch{\"o}lkopf, Bernhard and Muandet, Krikamol},
  journal = {Journal of Causal Inference},
  volume = {11},
  number = {1},
  pages = {20220073},
  year = {2023},
  publisher = {De Gruyter},
  doi = {10.1515/jci-2022-0073},
}

Learning

Towards empirical process theory for vector-valued functions: Metric entropy of smooth function classes

Junhyung Park , Krikamol Muandet

In International Conference on Algorithmic Learning Theory, 2023

DOI Bib PDF

@inproceedings{park2023towards,
  title = {Towards empirical process theory for vector-valued functions: Metric entropy of smooth function classes},
  author = {Park, Junhyung and Muandet, Krikamol},
  booktitle = {International Conference on Algorithmic Learning Theory},
  pages = {1216--1260},
  year = {2023},
  organization = {PMLR},
  doi = {https://proceedings.mlr.press/v201/park23a.html},
  slide = {/assets/slides/ALT2023-Slides.pdf}
}

Prediction
Gated Domain Units for Multi-source Domain Generalization

Simon Föll* , Alina Dubatovka* , Eugen Ernst† , Siu Lun Chau† , Martin Maritsch , Patrik Okanovic , Gudrun Thaeter , Joachim M Buhmann , Felix Wortmann , Krikamol Muandet

Transactions on Machine Learning Research, 2023

Bib PDF Code
@article{follgated, title = {Gated Domain Units for Multi-source Domain Generalization}, author = {F{\"o}ll, Simon and Dubatovka, Alina and Ernst, Eugen and Chau, Siu Lun and Maritsch, Martin and Okanovic, Patrik and Thaeter, Gudrun and Buhmann, Joachim M and Wortmann, Felix and Muandet, Krikamol}, journal = {Transactions on Machine Learning Research}, year = {2023}, }

Causality

A measure-theoretic axiomatisation of causality

Junhyung Park , Simon Buchholz , Bernhard Schölkopf , Krikamol Muandet

Advances in Neural Information Processing Systems, 2023

Oral DOI Bib PDF Poster

Oral Presentation at NeurIPS 2023

@article{park2023measure,
  title = {A measure-theoretic axiomatisation of causality},
  author = {Park, Junhyung and Buchholz, Simon and Sch{\"o}lkopf, Bernhard and Muandet, Krikamol},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  pages = {28510--28540},
  year = {2023},
  doi = {10.48550/arXiv.2305.17139},
}

Explainability

Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models

Siu Lun Chau , Krikamol Muandet* , Dino Sejdinovic*

Advances in Neural Information Processing Systems, 2023

Spotlight Bib PDF Code Poster

Spotlight Presentation at NeurIPS 2023

@article{chau2023explaining,
  title = {Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models},
  author = {Chau, Siu Lun and Muandet, Krikamol and Sejdinovic, Dino},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  pages = {50769--50795},
  year = {2023},
}

Causality

On the Relationship Between Explanation and Prediction: A Causal View

Amir-Hossein Karimi , Krikamol Muandet , Simon Kornblith , Bernhard Schölkopf , Been Kim

In International Conference on Machine Learning, 2023

Bib PDF Poster

@inproceedings{karimi2023relationship,
  title = {On the Relationship Between Explanation and Prediction: A Causal View},
  author = {Karimi, Amir-Hossein and Muandet, Krikamol and Kornblith, Simon and Sch{\"o}lkopf, Bernhard and Kim, Been},
  booktitle = {International Conference on Machine Learning},
  pages = {15861--15883},
  year = {2023},
  organization = {PMLR},
}

2022

Learning

Impossibility of collective intelligence

Krikamol Muandet

arXiv preprint arXiv:2206.02786, 2022

Bib PDF

@article{muandet2022impossibility,
  title = {Impossibility of collective intelligence},
  author = {Muandet, Krikamol},
  journal = {arXiv preprint arXiv:2206.02786},
  year = {2022},
}

Prediction
Sufficient invariant learning for distribution shift

Taero Kim , Subeen Park , Sungjun Lim , Yonghan Jung , Krikamol Muandet , Kyungwoo Song

arXiv preprint arXiv:2210.13533, 2022

Bib PDF
@article{kim2022sufficient, title = {Sufficient invariant learning for distribution shift}, author = {Kim, Taero and Park, Subeen and Lim, Sungjun and Jung, Yonghan and Muandet, Krikamol and Song, Kyungwoo}, journal = {arXiv preprint arXiv:2210.13533}, year = {2022}, }