Papers

Preprints & working papers 3

1. Power-law clustering with Gibbs partitions: universal estimation and predictive limits

   Takuya Koriyama

   Working paper

2. A Markov Chain Approach to Preference Alignment

   Takuya Koriyama and Tengyuan Liang

   arXiv:2606.22652, 2026

   Slides

3. Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators

   Pierre C. Bellec and Takuya Koriyama (alphabetical order)

   arXiv:2312.13254, 2023, submitted

   Slides

Publications 9

1. Asymptotic Inference for Exchangeable Gibbs Partitions

   Takuya Koriyama

   Stochastic Processes and their Applications, 202, 105074, 2026

   Slides

2. Asymptotics of resampling without replacement in robust and logistic regression

   Pierre C. Bellec and Takuya Koriyama (alphabetical order)

   Bernoulli, 32(4) 3063-3087, 2026

3. Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity

   Tengyuan Liang, Kulunu Dharmakeerthi, and Takuya Koriyama

   Transactions on Machine Learning Research, 2835-8856, 2026

4. Precise asymptotics of bagging regularized M-estimators

   Takuya Koriyama, Pratik Patil, Jin-Hong Du, Kai Tan, and Pierre C. Bellec

   The Annals of Statistics, 54(2) 796-833, 2026

   Code

5. Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition

   Takuya Koriyama, Takeru Matsuda and Fumiyasu Komaki

   Advances in Applied Probability, 58(1) 214-234, 2026

   Slides

6. Phase transitions for the existence of unregularized M-estimators in single index models

   Takuya Koriyama and Pierre C. Bellec

   Proceedings of the 42nd International Conference on Machine Learning (ICML2025)

7. Error estimation and adaptive tuning for unregularized robust M-estimator

   Pierre C. Bellec and Takuya Koriyama (alphabetical order)

   Journal of Machine Learning Research 26 (16), 1-40, 2025

8. Corrected generalized cross-validation for finite ensembles of penalized estimators

   Pierre C. Bellec, Jin-Hong Du, Takuya Koriyama, Pratik Patil and Kai Tan (alphabetical order)

   Journal of the Royal Statistical Society Series B: Statistical Methodology, 87(2), 289-318, 2025

   JournalSlidesCode

9. Fully Data-driven Normalized and Exponentiated Kernel Density Estimator with Hyvärinen Score

   Shunsuke Imai, Takuya Koriyama, Shouto Yonekura, Shonosuke Sugasawa and Yoshihiko Nishiyama

   Journal of Business & Economic Statistics 43 (1), 110-121, 2025

   Journal