Takuo Matsubara
Takuo Matsubara
William Gordon Seggie Brown Fellow
Verified email at - Homepage
Cited by
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Robust generalised Bayesian inference for intractable likelihoods
T Matsubara, J Knoblauch, FX Briol, CJ Oates
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
The ridgelet prior: A covariance function approach to prior specification for bayesian neural networks
T Matsubara, CJ Oates, FX Briol
Journal of Machine Learning Research 22 (157), 1-57, 2021
Generalised Bayesian inference for discrete intractable likelihood
T Matsubara, J Knoblauch, FX Briol, C Oates
Journal of the American Statistical Association, 1-11, 2023
The global optimum of shallow neural network is attained by ridgelet transform
S Sonoda, I Ishikawa, M Ikeda, K Hagihara, Y Sawano, T Matsubara, ...
The Thirty-Fifth International Conference on Machine Learning Workshop on …, 2018
TCE: A Test-Based Approach to Measuring Calibration Error
T Matsubara, N Tax, R Mudd, I Guy
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023
New Learning Algorithm of Neural Network Using Integral Representation and Kernel Herding
T Matsubara, S Sonoda, N Murata
IEICE Technical Report; IEICE Tech. Rep. 116 (500), 25-31, 2017
Hamiltonian Dynamics of Bayesian Inference Formalised by Arc Hamiltonian Systems
T Matsubara
arXiv preprint arXiv:2310.07680, 2023
Bridging the Gap Between Modelling and Computation in Bayesian Statistics
T Matsubara
Newcastle University, 2023
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