Shokichi Takakura

According to our database, Shokichi Takakura authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule.

Tomoya Matsumoto, Shokichi Takakura, Shun Takagi, Satoshi Hasegawa

CoRR, February, 2026

Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO.

Shokichi Takakura, Akifumi Wachi, Rei Higuchi, Kohei Miyaguchi, Taiji Suzuki

CoRR, February, 2026

A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning.

Akifumi Wachi, Hirota Kinoshita, Shokichi Takakura, Rei Higuchi, Taiji Suzuki

CoRR, February, 2026

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