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Masaaki Imaizumi

The University of Tokyo (from arXiv:2302.02988, 2023) · ORCID · OpenAlex

26 papers in scope · 20 published · 6 on the econ.EM arXiv · 176 citations · h-index 7 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Kaito Ariu
  2. Junpei Komiyama
  3. Chao Qin
  4. Masahiro Kato
  5. Shantanu Gupta
  6. David Childers
  7. Zachary C. Lipton
  8. Karun Adusumilli
  9. Andrew Bennett
  10. Tobias Schnabel
  11. Nishanth Dikkala
  12. Kenichiro McAlinn
  13. Amar Venugopal
  14. Maneesh Sahani
  15. Masatoshi Uehara
  16. Lester Mackey
  17. Vasilis Syrgkanis
  18. Nathan Kallus
  19. Arthur Gretton
  20. Zihao Li

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(6 of 26)

Universality of estimators for high-dimensional linear models with block dependency
published2026 · Bernoulli · first circulated 2024
with Toshiki Tsuda
Bernoulli
Masaaki Imaizumi's contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.
published2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Benign overfitting in time-series linear models with over-parameterization
published2025 · Bernoulli · first circulated 2022
with Shogo Nakakita
Bernoulli
Wasserstein k-Centers Clustering for Distributional Data
published2025 · Statistics and Computing · 2 citations · first circulated 2024
with Ryo Okano
Statistics and Computing
Distribution-on-distribution regression with Wasserstein metric: Multivariate Gaussian case
published2024 · Journal of Multivariate Analysis · 7 citations · first circulated 2023
with Ryo Okano
Journal of Multivariate Analysis
Augmented projection Wasserstein distances: Multi-dimensional projection with neural surface
published2024 · Journal of Statistical Planning and Inference
with Miyu Sugimoto, Ryo Okano
Journal of Statistical Planning and Inference
Benign overfitting of non-sparse high-dimensional linear regression with correlated noise
published2024 · Electronic Journal of Statistics · 3 citations · first circulated 2023
with Toshiki Tsuda
Electronic Journal of Statistics
Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions
published2024 · Electronic Journal of Statistics · 2 citations · first circulated 2022
with Shogo Nakakita, Pierre Alquier
Electronic Journal of Statistics
Uniform confidence band for optimal transport map on one-dimensional data
published2024 · Electronic Journal of Statistics · 1 citations · first circulated 2023
with Donlapark Ponnoprat, Ryo Okano
Electronic Journal of Statistics
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression
published2024 · Electronic Journal of Statistics · first circulated 2021
with Akifumi Okuno
Electronic Journal of Statistics
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
working paper2023 · arXiv · 3 citations
with Masahiro Kato
Paper profile arXiv arXiv:2310.16819
Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds
working paper2023 · arXiv · 1 citations
with Masahiro Kato, Takuya Ishihara, Toru Kitagawa
Paper profile arXiv arXiv:2302.02988
Fast Convergence on Perfect Classification for Functional Data
published2023 · Statistica Sinica · 2 citations
with Tomoya Wakayama
Statistica Sinica
Instrumental variable regression via kernel maximum moment loss
published2023 · Journal of Causal Inference · 10 citations · first circulated 2020
with Rui Zhang, Bernhard Schölkopf, Krikamol Muandet
Journal of Causal Inference
On Generalization Bounds for Deep Networks Based on Loss Surface Implicit Regularization
published2022 · IEEE Transactions on Information Theory · 3 citations
with Johannes Schmidt-Hieber
IEEE Transactions on Information Theory
Best Arm Identification with Contextual Information under a Small Gap
working paper2022 · arXiv
with Masahiro Kato, Takuya Ishihara, Toru Kitagawa
Paper profile arXiv arXiv:2209.07330
Inference for Projection-Based Wasserstein Distances on Finite Spaces
published2022 · Statistica Sinica · 6 citations
with Ryo Okano
Statistica Sinica
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension
published2022 · Neural Computation · 11 citations · first circulated 2019
with Hirofumi Ota, Takuo Hamaguchi
Neural Computation
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
working paper2022 · arXiv · 3 citations
with Masahiro Kato
Paper profile arXiv arXiv:2202.05245
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap
working paper2022 · arXiv
with Masahiro Kato, Kaito Ariu, Masahiro Nomura, Chao Qin
Paper profile arXiv arXiv:2201.04469
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
working paper2021 · arXiv
with Masahiro Kato, Kenichiro McAlinn, Haruo Kakehi, Shota Yasui
Paper profile arXiv arXiv:2108.01312
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality
published2020 · Journal of Machine Learning Research · 44 citations · first circulated 2019
with Ryumei Nakada
Journal of Machine Learning Research
Statistically Efficient Estimation for Non-Smooth Probability Densities
published2018 · International Conference on Artificial Intelligence and Statistics
with Takanori Maehara, Yuichi Yoshida
no link
A simple method to construct confidence bands in functional linear regression
published2018 · Statistica Sinica · 9 citations · first circulated 2016
with Kengo Kato
Statistica Sinica
PCA-based estimation for functional linear regression with functional responses
published2017 · Journal of Multivariate Analysis · 46 citations · first circulated 2016
with Kengo Kato
Journal of Multivariate Analysis
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
published2017 · Neural Information Processing Systems · 23 citations
with Takanori Maehara, Kohei Hayashi
Neural Information Processing Systems

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.