1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
Heteroscedastic Double Bayesian Elastic Net
Masanari Kimura
In many practical applications, regression models are employed to uncover relationships between predictors and a response variable, yet the common assumption of constant error vari…
stat.ML2025
Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry
Masanari Kimura, Howard Bondell
Fréchet regression extends classical regression methods to non-Euclidean metric spaces, enabling the analysis of data relationships on complex structures such as manifolds and grap…
stat.ML2024★ 1 cited
Test-Time Augmentation Meets Variational Bayes
Masanari Kimura, Howard Bondell
Data augmentation is known to contribute significantly to the robustness of machine learning models. In most instances, data augmentation is utilized during the training phase. Tes…