Takuya Koriyama

Takuya Koriyama

PhD student at UChicago

Welcome to Takuya’s Homepage

About me

I am a first-year Ph.D. student in Statistics at The University of Chicago, Booth School of Business. I’m broadly interested in statistics, optimization, 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. Advisors: Pierre C. Bellec and Qiyang Han.
  • 2018-2022. Bachelor degree in Applied Mathematics, The University of Tokyo. Advisors: Takeru Matsuda and Fumiyasu Komaki.

Publication (* means alphabetical order)

  1. Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity
    Tengyuan Liang, Kulunu Dharmakeerthi, Takuya Koriyama
    arXiv:2411.01629, 2024.

  2. Precise Asymptotics of Bagging Regularized M-estimators
    Takuya Koriyama, Pratik Patil, Jin-Hong Du, Kai Tan, and Pierre C. Bellec
    arXiv:2409.15252, 2024. [github]

  3. Asymptotics of resampling without replacement in robust and logistic regression
    Pierre C. Bellec* and Takuya Koriyama*
    arXiv:2404.02070, 2024

  4. Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators
    Pierre C. Bellec* and Takuya Koriyama*
    arXiv:2312.13254, 2023. [slide]

  5. Error estimation and adaptive tuning for unregularized robust M-estimator
    Pierre C. Bellec* and Takuya Koriyama*
    arXiv:2312.13257, 2023

  6. 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, 2024. [journal], [slide], [github].

  7. 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. [journal]

  8. Asymptotic analysis of parameter estimation for the Ewens–Pitman partition
    Takuya Koriyama, Takeru Matsuda and Fumiyasu Komaki
    arXiv:2207.01949, 2022. [slide]

Talk

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

Teaching (PhD level)

  • TA: Theory of Probability, fall 2023.
  • TA: Stochastic process, spring 2024.
  • Instructor: Probability and Stochastic Processes, summer 2024.

Award

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