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Krikamol Muandet

Domain Generalisation via Imprecise Learning

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Apr 06, 2024
Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet

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Looping in the Human: Collaborative and Explainable Bayesian Optimization

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Nov 06, 2023
Masaki Adachi, Brady Planden, David A. Howey, Krikamol Muandet, Michael A. Osborne, Siu Lun Chau

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Causal Strategic Learning with Competitive Selection

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Sep 05, 2023
Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet

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Fast Adaptive Test-Time Defense with Robust Features

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Jul 21, 2023
Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar

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Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models

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May 24, 2023
Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic

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On the Relationship Between Explanation and Prediction: A Causal View

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Dec 20, 2022
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim

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Learning Counterfactually Invariant Predictors

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Jul 20, 2022
Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Niki Kilbertus, Yucen Luo

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Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions

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Jul 11, 2022
Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf

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Gated Domain Units for Multi-source Domain Generalization

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Jun 24, 2022
Simon Föll, Alina Dubatovka, Eugen Ernst, Martin Maritsch, Patrik Okanovic, Gudrun Thäter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet

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AutoML Two-Sample Test

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Jun 17, 2022
Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf

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