Motonobu Kanagawa
Assistant Professor
EURECOM
I am currently an Assistant Professor at Eurecom since September 2019. Previously I was a research scientist at the Chair for the Methods of Machine Learning in the University of Tuebingen (Oct 2018 - Aug 2019), and at the Probabilistic Numerics Group in the Max Planck Institute for Intelligent Systems (Sep 2017 - Sep 2018), working with Prof. Philipp Hennig. Prior to this, I was a postdoc (Apr 2016 - Aug 2017) and a PhD. student (Apr 2013 - Mar 2016) at Institute of Statistical Mathematics, working with Prof. Kenji Fukumizu.
Interests
- Machine Learning for/with Computer Simulations
- Uncertainty Quantification and Decision Making
- Theoretical Analysis of Learning/Numerical Algorithms
Education
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PhD in Statistical Science, 2016
The Institute of Statistical Mathematics / Graudate Univeristy for Advanced Studies, Japan
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MEng in Computer Science, 2013
Nara Institute of Science and Technology, Japan
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BSc in Computer Science, 2011
National Institute of Technology, Gunma College, Japan
Recent Publications
- When Is Importance Weighting Correction Needed For Covariate Shift Adaptation (2023)
- Variable Selection In Maximum Mean Discrepancy For Interpretable Distribution Comparison (2023)
- Improved Random Features For Dot Product Kernels (2022)
- Counterfactual Mean Embeddings (2021)
- Connections And Equivalences Between The Nyström Method And Sparse Variational Gaussian Processes (2021)