Faculty
Dr. Krikamol Muandet ist Tenure-Track-Faculty (Fast Track) am CISPA Helmholtz-Zentrum für Informationssicherheit. Von 2018 bis 2022 war er Forschungsgruppenleiter in der Abteilung Empirische Inferenz am Max-Planck-Institut für Intelligente Systeme in Tübingen. Von Januar 2016 bis Dezember 2017 war er Dozent in der Abteilung Mathematik an der naturwissenschaftlichen Fakultät der Mahidol University in Thailand. Unter der Leitung von Prof. Bernhard Schölkopf promivierte er summa cum laude zu Kernel-Methoden im maschinellen Lernen. Zuvor schloss er sein Master-Studium in maschinellem Lernen am University College London (UCL) mit Auszeichnung ab. Am UCL arbeitete er hauptsächlich in der Gatsby Computational Neuroscience Unit bei 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.