Motonobu Kanagawa
Scholar

Motonobu Kanagawa

Google Scholar ID: 9G-g30IAAAAJ
EURECOM
statisticsmachine learningapplied mathematicssimulationprobabilistic numerics
Citations & Impact
All-time
Citations
991
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • Paper 'Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression' accepted by Transactions of Machine Learning Research (2024).
  • Paper 'Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood' accepted by SIAM/ASA Journal on Uncertainty Quantification (2024).
  • Awarded the Chris Daykin Prize by the International Actuarial Association for the paper 'Intergenerational risk sharing in a defined contribution pension system: analysis with Bayesian optimization' (with An Chen and Fangyuan Zhang).
  • Paper 'Counterfactual Mean Embeddings' published in JMLR (2021).
  • Multiple preprints on arXiv covering topics such as importance weighting correction, Gaussian process scale estimation, variable selection in MMD, and improved random features for dot product kernels.
  • Organizing the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in September 2025.
  • Organized the Workshop on Functional Inference and Machine Intelligence at EURECOM in February 2020.