ジャーナル論文 / Journal
  1. Nakakita, S., and Imaizumi, M., "Benign Overfitting in Time Series Linear Model with Over-Parameterization", Bernoulli, (2025).
  2. Wakayama, T., and Imaizumi, M., "Fast Convergence on Perfect Classification for Functional Data", Statist. Sinica, (2024).
  3. Tsuda, T., and Imaizumi, M., "Benign overfitting of non-sparse high-dimensional linear regression with correlated noise", Electron. J. Stat., (2024).
  4. Okuno, A., and Imaizumi, M., "Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression", Electron. J. Stat., (2024).
  5. Okano, R., and Imaizumi, M., "Inference for Projection-Based Wasserstein Distances on Finite Spaces", Statist. Sinica, (2024).
  6. Nakakita, S., Alquier, P., and Imaizumi, M., "Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions", Electron. J. Stat., (2024).
  7. Kobayashi, K., Gu, L., Hataya, R., Mizuno, T., Miyake, M., Watanabe, H., Takahashi, M., Takamizawa, Y., Yoshida, Y., Nakamura, S., Kouno, N., Bolatkan, A., Kurose, Y., Harada, T., and Hamamoto, R., "Sketch-based semantic retrieval of medical images", Med. Image Anal. 92, 103060, (2024).
  8. Placidi, L., Hataya, R., Mori, T., Aoyama, K., Morisaki, H., Mitarai, K., and Fujii, K., "MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era", arXiv:2306.16627, (2023).
国際会議 / Proceedings
  1. Braun, G., Minh, Q., and Imaizumi, M., "Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent", Artificial Intelligence and Statistics, (2025).
  2. Braun, G., and Sugiyama, M., "VEC-SBM: Optimal community detection with vectorial edges covariates", Proceedings of 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024) 238, 532–540, (2024).
  3. Komiyama, J., and Imaizumi, M., "High-dimensional Contextual Bandit Problem without Sparsity", Advances in Neural Information Processing Systems, (2023).
  4. Kobayashi, K., Gu, L., Hataya, R., Miyake, M., Takamizawa, Y., Ito, S., Watanabe, H., Yoshida, Y., Yoshimura, H., Harada, T., and Hamamoto, R., "Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing", Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 , (2023).