Slides

On the Connections and Equivalences between Gaussian Processes and Kernel Methods in Machine Learning (IBIS 2020) [slides]

K. Kisamori, M. Kanagawa and K. Yamazaki

• "Simulator Calibration under Covariate Shift with Kernels"

• AISTATS 2020, to appear

• arXiv:1809.08159 [stat.ML]. [https://arxiv.org/abs/1809.08159] [Slides]

M. Kanagawa and P. Hennig

• "Convergence Guarantees for Adaptive Bayesian Quadrature Methods"

• NeurIPS 2019, to appear [slides]

• arXiv:1905.10271 [stat.ML]. [https://arxiv.org/abs/1905.10271]

T. Kajihara, M. Kanagawa, K. Yamazaki, and K. Fukumizu,

• "Kernel Recursive ABC: Point Estimation with Intractable Likelihood,"

• Thirty-fifth International Conference on Machine Learning (ICML 2018)

• arXiv:1802.08404 [stat.ML]. [https://arxiv.org/abs/1802.08404] [Slides]

M. Kanagawa, B. K. Sriperumbudur and K. Fukumizu,

• "Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings,"

• Foundations of Computational Mathematics [link]

• arXiv:1709.00147 [math.NA]. [https://arxiv.org/abs/1709.00147] [slides]