Shokichi Takakura

According to our database, Shokichi Takakura authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond.

Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa

CoRR, September, 2025

FedDuA: Doubly Adaptive Federated Learning.

Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa

CoRR, May, 2025

Accelerating Differentially Private Federated Learning via Adaptive Extrapolation.

Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa

CoRR, April, 2025

2024

Structured Output Feedback Control for Linear Quadratic Regulator Using Policy Gradient Method.

Shokichi Takakura, Kazuhiro Sato

IEEE Trans. Autom. Control., January, 2024

Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective.

Shokichi Takakura, Taiji Suzuki

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input.

Shokichi Takakura, Taiji Suzuki

Proceedings of the International Conference on Machine Learning, 2023