Faculty
Dr. Krikamol Muandet is tenure-track faculty (fast track) at CISPA Helmholtz Center for Information Security. From 2018 to 2022, he was a research group leader affiliated with the Empirical Inference Department at Max Planck Institute for Intelligent Systems, Tübingen, Germany. From January 2016 to December 2017, he was a lecturer at the Department of Mathematics, Faculty of Science, Mahidol University in Thailand. He graduated summa cum laude with a PhD degree specializing in kernel methods in machine learning. His PhD advisor was Prof. Bernhard Schölkopf. He also obtained a master’s degree with distinction in machine learning from University College London (UCL), United Kingdom. At UCL, he worked primarily in the Gatsby Computational Neuroscience Unit with Prof. Yee Whye Teh.
Trans. Mach. Learn. Res. Learning Counterfactually Invariant Predictors.
International Conference on Artificial Intelligence and Statistics (AISTATS)
Looping in the Human: Collaborative and Explainable Bayesian Optimization.
National Conference of the American Association for Artificial Intelligence (AAAI)
Causal Strategic Learning with Competitive Selection
Conference on Neural Information Processing Systems (NeurIPS)
A Measure-Theoretic Axiomatisation of Causality.
Conference on Neural Information Processing Systems (NeurIPS)
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models.
Trans. Mach. Learn. Res. Gated Domain Units for Multi-source Domain Generalization.
International Conference on Algorithmic Learning Theory
Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes
International Conference on Machine Learning (ICML)
On the Relationship Between Explanation and Prediction: A Causal View
Conference on Neural Information Processing Systems (NeurIPS)
AutoML Two-Sample Test.