Takuo Matsubara

According to our database, Takuo Matsubara authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Inversion-Free Natural Gradient Descent on Riemannian Manifolds.

Dario Draca, Takuo Matsubara, Minh-Ngoc Tran

CoRR, April, 2026

Maximin Robust Bayesian Experimental Design.

Hany Abdulsamad, Sahel Iqbal, Christian A. Naesseth, Takuo Matsubara, Adrien Corenflos

CoRR, March, 2026

Bures-Wasserstein Importance-Weighted Evidence Lower Bound: Exposition and Applications.

Peiwen Jiang, Takuo Matsubara, Minh-Ngoc Tran

CoRR, February, 2026

2025

Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities.

Takuo Matsubara, Andrew B. Duncan, Simon L. Cotter, Konstantinos Zygalakis

CoRR, September, 2025

2024

Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression.

Takuo Matsubara

CoRR, 2024

Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning.

Takuo Matsubara

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

TCE: A Test-Based Approach to Measuring Calibration Error.

Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2021

The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks.

Takuo Matsubara, Chris J. Oates, François-Xavier Briol

J. Mach. Learn. Res., 2021

2018

Integral representation of the global minimizer.

Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata

CoRR, 2018