Obuchi, Tomoyuki

9 publications

NeurIPS 2025 Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka

TMLR 2025 Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy Based on Sharp Asymptotic Analysis Koki Okajima, Tomoyuki Obuchi

TMLR 2025 When Resampling/reweighting Improves Feature Learning in Imbalanced Classification? a Toy-Model Study Tomoyuki Obuchi, Toshiyuki Tanaka

AISTATS 2023 On Model Selection Consistency of Lasso for High-Dimensional Ising Models Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

NeurIPS 2021 Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

JMLR 2019 Semi-Analytic Resampling in Lasso Tomoyuki Obuchi, Yoshiyuki Kabashima

JMLR 2018 Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization Tomoyuki Obuchi, Yoshiyuki Kabashima

NeurIPS 2018 Mean-Field Theory of Graph Neural Networks in Graph Partitioning Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi

NeurIPS 2018 Objective and Efficient Inference for Couplings in Neuronal Networks Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima