Matsubara, Takuo

3 publications

NeurIPS 2024 Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning Takuo Matsubara

UAI 2023 TCE: A Test-Based Approach to Measuring Calibration Error Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy

JMLR 2021 The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks Takuo Matsubara, Chris J. Oates, François-Xavier Briol