Welcome to Takuya’s Homepage

About me

I am a 1st-year Ph.D. student in Statistics at The University of Chicago, Booth School of Business. I’m broadly interested in machine learning, statistics, and probability.

Education

• 2024-present. PhD student in Econometrics and Statistics at The University of Chicago, Booth School of Business. Advisor: Tengyuan Liang.
• 2022-2024. PhD student in Statistics at Rutgers University. Advisor: Pierre C. Bellec.
• 2018-2022. Bachelor degree in Applied Mathematics, The University of Tokyo. Advisors: Takeru Matsuda and Fumiyasu Komaki. Thesis.

Research

1. Precise asymptotics of subgging of regularized M-estimators, Takuya Koriyama*, Pratik Patil, Jin-Hong Du, Kai Tan, and Pierre C. Bellec, 2024.
2. Asymptotics of resampling without replacement in robust and logistic regression, Pierre C. Bellec* and Takuya Koriyama*. arXiv:2404.02070, 2024.
3. Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators, Pierre C. Bellec* and Takuya Koriyama*. arXiv:2312.13254, 2023.
4. Error estimation and adaptive tuning for unregularized robust M-estimator, Pierre C. Bellec* and Takuya Koriyama*. arXiv:2312.13257, 2023.
5. Corrected generalized cross-validation for finite ensembles of penalized estimators, Pierre C. Bellec*, Jin-Hong Du*, Takuya Koriyama*, Pratik Patil* and Kai Tan*. Journal of the Royal Statistical Society: Series B (accepted), 2024.
6. 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, 2024.
7. Asymptotic analysis of parameter estimation for the Ewens–Pitman partition, Takuya Koriyama*, Takeru Matsuda and Fumiyasu Komaki. arXiv:2207.01949, 2022.

Award

• Best Ph.D. Qualifying Exam Performance, Department of Statistics, Rutgers University, 2023.
• Student Travel Award, IMS International Conference on Statistics and Data Science (IMS-ICSDS), 2022.
• Best Presentation Award and Japan Statistical Society Certificate Director’s Award, 16th Japan Statistical Society Spring Meeting, 2022.

Talk

• Poster session, Workshop Honoring Andrew Barron: Forty Years at the Interplay of Information Theory, Probability and Statistical Learning, Yale University, April 2024.
• Contributed session and invited session, IMS Asia Pacific Rim Meeting, Melbourne, January 2024.
• Seminar talk, Graduate school of Economics, the University of Tokyo, February 2023.
• Student travel award session, IMS International Conference on Statistics and Data Science, Florence, December 2022.
• Seminar talk, Workshop on random partition of integers, the University of Tokyo, June 2022.
• Poster session, Japan Statistical Society Meeting, Keio University, March 2022.