Contact Information

Eurecom, 450 Route des Chappes, 06410 Biot, France

Email: motonobu.kanagawa [CHAN] eurecom.fr  (Please replace [CHAN] by @)

News

• We are organising the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in southern France in Sep 2025 (https://probnum25.github.io/)

• Our paper ``Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression'' has been accepted by Transactions of Machine Learning Research (2024)

• Our paper "Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood" has been accepted by the SIAM/ASA Journal on Uncertainty Quantification. (2024) 

• I have been awarded the Chris Daykin Prize from the International Actuarial Association for our paper "Intergenerational risk sharing in a defined contribution pension system: analysis with Bayesian optimization", together with An Chen (Ulm University) and Fangyuan Zhang (EDHEC Business School).

• Our new paper "Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison" is now available on arXiv (Nov 2023). 

• Our new paper "Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood'' is now available on arXiv (July 2023).

• Our new paper ``When is Importance Weighting Correction Needed for Covariate Shift Adaptation?'' is now available on arXiv (Mar 2023).

• Our paper ``Intergenerational Risk Sharing in a Defined Contribution Pension System: Analysis with Bayesian Optimization'' has been accepted by ASTIN Bulletin (March 2022)! 

• Our new paper ``Improved Random Features for Dot Product Kernels'' is now available on arXiv (Jan 2022).

• We have written a new paper ``Intergenerational Risk Sharing in a Collective Defined-Contribution Pension System: A Simulation Study with Bayesian Optimization''  (June 2021). 

• Our paper "Counterfactual Mean Embeddings" has been accepted by JMLR! (June 2021)

• A new preprint ``Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes'' is now available on arXiv (June 2021).

• I have been awarded a new chair position at the 3IA Cote d'Azur (a French national research institute on AI) (June 2021).

• We have significantly updated our preprint "Counterfactual Mean Embeddings", now containing several new results (Mar 2020). 

• We are organizing Workshop on Functional Inference and Machine Intelligence at EURECOM on 17 - 19 Feb 2020. 

• Our paper "Simulator Calibration under Covariate Shift with Kernels" has been accepted for publication at AISTATS 2020 (Jan 2020).

• A new preprint "Simulator Calibration under Covariate Shift with Kernels" has now been available (Oct 2019).

• Our paper ""Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models" has been accepted for publication in Machine Learning (Oct 2019).

• Our paper "Convergence Guarantees for Adaptive Bayesian Quadrature Methods" by Kanagawa and Hennig has been accepted for publication in NeurIPS 2019 (Sep 2019).

• I have moved to Eurecom and started working as an Assistant Professor! (Sep 2019)

• Our paper "On the positivity and magnitudes of Bayesian quadrature weights" by Karvonen, Kanagawa and Särkkä has been accepted for publication in Statistics and Computing (Aug 2018).

• 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 publication in Foundations of Computational Mathematics (30 Oct 2018)

Academic Services

• Editorial Board Member of Journal of Machine Learning Research (JMLR)

• Reviewing service: 

  • TPAMI, Machine Learning, Statistics and Computing, JMLR, etc.

  • AISTATS(2016,2019, 2020), ICML (2015,2017,2018,2019,2020), NeuIPS (2015,2016,2017,2018,2019,2020)