KANAGAWA Motonobu

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