Graduate School and Research Center in Digital Sciences

Motonobu KANAGAWA

Motonobu KANAGAWA
Motonobu KANAGAWA
Eurecom - Data Science 
Assistant Professor
04 93 00 81 87
04 93 00 82 00
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Current research topics

  • Kernel methods and Gaussian processes in machine learning, statistics and numerical computation
  • Machine learning for enhancing the power of computer simulation  
  • Applications to real-world problems involving computer simulation models

Selected publications

  • 2019 - Convergence Guarantees for Adaptive Bayesian Quadrature Methods
  • 2019 - Convergence Analysis of Deterministic Kernel-based Quadrature Rules in Misspecified Settings
  • 2018 - Kernel Recursive ABC: Point Estimation with Intractable Likelihood