About me
I am currently working as a postdoctoral researcher in Deep Learning Theory team at RIKEN AIP.
Research Interests
- Bayesian statistics
- Spatio-temporal modelling
- Statistical learning theory for large-scale model
Recent Papers
Preprint
Wakayama, T., and Banerjee, S. (2024), “Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking”. arXiv preprint, arXiv:2405.09906, code.
Wakayama, T. (2024), “Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression”. arXiv preprint, arXiv:2404.04498, code.
Publication
Wakayama, T. and Sugasawa, S. (2024), “Ensemble Prediction via Covariate-dependent Stacking”. Statistics and Computing. (publication).
Wakayama, T., Sugasawa, S., and Kobayashi, G. (2025+), “Similarity-based Random Partition Distribution for Clustering Functional Data”. Journal of the Royal Statistical Society, Series C. arXiv:2308.01704, code.
Wakayama, T. and Imaizumi, M. (2024), “Fast Convergence on Perfect Classification for Functional Data”. Statistica Sinica. (publication)
Recent Talks
Wakayama, T., and Imaizumi, M. (2025), “Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra”, Objective Bayes Methodology Conference 2025, Athens, Greece, June 2025.
Wakayama, T., and Banerjee, S. (2024), “Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking”, 2024 IMS International Conference on Statistics and Data Science, Nice, France, December 2024.
Wakayama, T., Sugasawa, S., Kobayashi, G. “Similarity-based Random Partition Distribution for Clustering Functional Data”, ISBA World Meeting 2024, Venice, Italy, June 2024.
Recent Awards & Grants
2023/10-2026/3 ACT-X「次世代AIを築く数理・情報科学の革新」, JST.
2023 ISI東京大会記念奨励賞, 日本統計学会
2022/04- 日本学術振興会特別研究員DC1, JSPS.
Education
Ph.D. in Economics, The University of Tokyo, 2025
Dissertation: “Nonparametric Bayesian Statistics for High-dimensional Data”
Supervisor: Masaaki Imaizumi
M.S. in Economics, The University of Tokyo, 2022
Master’s Thesis: “Trend Filtering for Functional Data: Optimization and Bayesian Approach”
Supervisor: Shonosuke Sugasawa
B.S. in Engineering, Osaka Prefecture University, 2020