ジャーナル論文 / Journal
- Nakakita, S., and Imaizumi, M., "Benign overfitting in time-series linear models with over-parameterization", Bernoulli, (2026).
- Imaizumi, M., "Masaaki Imaizumi's contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al", Journal of the Royal Statistical Society Series B: Statistical Methodology, (2026).
- Yoshida, N., Nakakita, S., and Imaizumi, M., "Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution", Transactions on Machine Learning Research 2025, (2025).
- Tsuda, T., and Imaizumi, M., "Universality of estimators for high-dimensional linear models with block dependency", Bernoulli, (2025).
- Nakakita, S., and Imaizumi, M., "Benign Overfitting in Time Series Linear Model with Over-Parameterization", Bernoulli, (2025).
- Wakayama, T., and Imaizumi, M., "Fast Convergence on Perfect Classification for Functional Data", Statist. Sinica, (2024).
- Tsuda, T., and Imaizumi, M., "Benign overfitting of non-sparse high-dimensional linear regression with correlated noise", Electron. J. Stat., (2024).
- Okuno, A., and Imaizumi, M., "Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression", Electron. J. Stat., (2024).
- Okano, R., and Imaizumi, M., "Inference for Projection-Based Wasserstein Distances on Finite Spaces", Statist. Sinica, (2024).
- 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).
- 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).
- 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
- Nishiyama, S., and Imaizumi, M., "Precise Dynamics of Diagonal Linear Networks: A Unifying Analysis by Dynamical Mean-Field Theory", Artificial Intelligence and Statistics, (2026).
- Braun, G., and Imaizumi, M., "Neuron Block Dynamics for XOR Classification with Zero-Margin", Artificial Intelligence and Statistics, (2026).
- Braun, G., Loureiro, B., Minh, H., and Imaizumi, M., "Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data", International Conference on Learning Representations, (2026).
- Sakai, M., Karakida, R., and Imaizumi, M., "Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs", Advances in Neural Information Processing Systems, (2025).
- Chen, B., Ito, S., and Imaizumi, M., "Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning", Advances in Neural Information Processing Systems (NeurIPS2025), (2025).
- 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).
- 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).
- Komiyama, J., and Imaizumi, M., "High-dimensional Contextual Bandit Problem without Sparsity", Advances in Neural Information Processing Systems, (2023).
- 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).
