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.
Association for the Advancement of Artificial Intelligence (AAAI)
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
International Conference on Learning Representations (ICLR)
When Shift Happens - Confounding Is to Blame
International Conference on Learning Representations (ICLR)
Boosting for Predictive Sufficiency
Conference on Neural Information Processing Systems (NeurIPS)
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Sufficient Invariant Learning for Distribution Shift
International Conference on Artificial Intelligence and Statistics (AISTATS)
Credal Two-Sample Tests of Epistemic Uncertainty
Conference on Neural Information Processing Systems (NeurIPS)
Integral Imprecise Probability Metrics
International Conference on Artificial Intelligence and Statistics (AISTATS)
Credal Two-Sample Tests of Epistemic Uncertainty
International Conference on Machine Learning (ICML)
Domain Generalisation via Imprecise Learning.
Trans. Mach. Learn. Res. Learning Counterfactually Invariant Predictors.