I am currently a research scientist with the Chair for the Methods of Machine Learning in the Department of Computer Science of the University of Tuebingen, working with Prof. Dr. Philipp Hennig since October 2018. Previously I was a research scientist at the Probabilistic Numerics Group in the Max Planck Institute for Intelligent Systems, working with Dr. Philipp Hennig and a project assistant professor at Institute of Statistical Mathematics, working with Prof. Kenji Fukumizu, with whom I did my PhD.
My current research interests include kernel methods in machine learning, quadrature or deterministic sampling methods, and probabilistic numerics.
Chair for the Methods of Machine Learning, Department of Computer Science, University of Tuebingen
Maria-von-Linden-Straße 6, 72076 Tübingen, Germany
Email: motonobu.kanagawa [RKHS] uni-tuebingen.de (Please replace [RKHS] by @)
- A new preprint "Convergence Guarantees for Adaptive Bayesian Quadrature Methods" by M. Kanagawa and P. Hennig (27 May 2019)
- Our paper "Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings" by Kanagawa, Sriperumbudur and Fukumizu has just been accepted for a publication in Foundations of Computational Mathematics (30 Oct 2018)
- Reviewed for
- TPAMI, Machine Learning, Statistics and Computing, JMLR, etc.
- AISTATS(2016,2019), ICML (2015,2017,2018), NIPS (2015,2016,2017,2018)
Tuebingen, April 2019