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.
International Conference on Machine Learning (ICML)
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions.
International Conference on Machine Learning (ICML)
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression.
International Conference on Machine Learning (ICML)
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction.
Conference on Neural Information Processing Systems (NeurIPS)
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing