Publications

(*,† indicate equal contributions)

2025

1. Causality

   When Shift Happens - Confounding Is to Blame

   Abbavaram Gowtham Reddy, Celia Rubio-Madrigal, Rebekka Burkholz, Krikamol Muandet

   preprint, 2025

   DOI Bib PDF

   @article{reddy2025when,
     title = {When Shift Happens - Confounding Is to Blame},
     author = {Reddy, Abbavaram Gowtham and Rubio-Madrigal, Celia and Burkholz, Rebekka and Muandet, Krikamol},
     journal = {preprint},
     year = {2025},
     doi = {10.48550/arXiv.2505.21422},
   }

2. Probability Theory

   Integral Imprecise Probability Metrics

   Siu Lun Chau, Michele Caprio, Krikamol Muandet

   preprint, 2025

   DOI Bib PDF

   @article{chau2025imprecise,
     title = {Integral Imprecise Probability Metrics},
     author = {Chau, Siu Lun and Caprio, Michele and Muandet, Krikamol},
     journal = {preprint},
     year = {2025},
     doi = {10.48550/arXiv.2505.16156},
   }

3. Explainability

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

   Majid Mohammadi, Siu Lun Chau, Krikamol Muandet

   preprint, 2025

   DOI Bib PDF

   @article{majid2025computing,
     title = {Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods},
     author = {Mohammadi, Majid and Chau, Siu Lun and Muandet, Krikamol},
     journal = {preprint},
     year = {2025},
     doi = {10.48550/arXiv.2505.16516},
   }

4. Regulation

   

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

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

   preprint, 2025

   DOI Bib PDF Code

   @article{vo2025strategic,
     title = {Explanation Design in Strategic Learning: Sufficient Explanations that Induce Non-harmful Responses},
     author = {Vo, Kiet QH and Chau, Siu Lun and Kato, Masahiro and Wang, Yixin and Muandet, Krikamol},
     journal = {preprint},
     year = {2025},
     doi = {10.48550/arXiv.2502.04058},
   }

5. Probability Theory

   Truthful Elicitation of Imprecise Forecasts

   Anurag Singh, Siu Lun Chau, Krikamol Muandet

   In Uncertainty in Aritificial Intelligence (UAI), 2025

   Oral DOI Bib PDF Code Poster

   Oral Presentation at UAI 2025

   @inproceedings{singh2025truthful,
     title = {Truthful Elicitation of Imprecise Forecasts},
     author = {Singh, Anurag and Chau, Siu Lun and Muandet, Krikamol},
     booktitle = {Uncertainty in Aritificial Intelligence (UAI)},
     year = {2025},
     publisher = {PMLR},
     doi = {10.48550/arXiv.2503.16395},
   }

6. Kernels

   Kernel Quantile Embeddings and Associated Probability Metrics

   Masha Naslidnyk, Siu Lun Chau, F-X Briol, Krikamol Muandet

   In International Conference on Machine Learning (ICML), 2025

   Bib PDF

   @inproceedings{naslidnyk2025kqe,
     title = {Kernel Quantile Embeddings and Associated Probability Metrics},
     author = {Naslidnyk, Masha and Chau, Siu Lun and Briol, F-X and Muandet, Krikamol},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2025},
     publisher = {PMLR},
   }

7. Prediction

   Teaching Transformers Causal Reasoning through Axiomatic Training

   Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N Balasubramanian, Amit Sharma

   In International Conference on Machine Learning (ICML), 2025

   DOI Bib PDF

   @inproceedings{vashishthateaching,
     title = {Teaching Transformers Causal Reasoning through Axiomatic Training},
     author = {Vashishtha, Aniket and Kumar, Abhinav and Pandey, Atharva and Gowtham Reddy, Abbavaram and Ahuja, Kabir and Balasubramanian, Vineeth N and Sharma, Amit},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2025},
     publisher = {PMLR},
     doi = {10.48550/arXiv.2407.07612},
   }

8. 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},
   }

9. 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

   DOI Bib PDF Poster

   @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)},
     year = {2025},
     publisher = {PMLR},
     doi = {10.48550/arXiv.2410.12921},
   }

10. Bayesian Opt.

    Bayesian Optimization for Building Social-Influence-Free Consensus

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

    preprint, 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 = {preprint},
      year = {2025},
      doi = {10.48550/arXiv.2502.07166},
    }

11. 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

    Nature Communication, 2025

    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},
      journal = {Nature Communication},
      year = {2025},
      doi = {10.26434/chemrxiv-2024-m12s4}
    }

12. Prediction

    Sufficient invariant learning for distribution shift

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

    Computer Vision and Pattern Recognition (CVPR), 2025

    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 = {Computer Vision and Pattern Recognition (CVPR)},
      year = {2025},
    }

2024

1. 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},
   }

2. 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},
   }

3. 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},
   }

4. 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},
   }

5. 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

1. 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},
   }

2. 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}
   }

3. 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},
   }

4. 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},
   }

5. 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},
   }

6. 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

1. 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},
   }