People
Shokichi Takakura Software Engineer
Shokichi Takakura is currently an R&D engineer with LY Corporation Research. In 2024, he received his master's degree from the Graduate School of Information Science and Technology at the University of Tokyo. His research interests lie primarily in machine learning, optimization, and privacy-enhancing technologies.
Publications
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- CONFERENCE (DOMESTIC)
- Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model
- Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
- 第18回データ工学と情報マネジメントに関するフォーラム（第24回日本データベース学会年次大会）
- March 04, 2026
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- OTHERS (INTERNATIONAL)
- Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
- Shokichi Takakura, Akifumi Wachi, Rei Higuchi (The University of Tokyo/RIKEN AIP), Kohei Miyaguchi, Taiji Suzuki (The University of Tokyo/RIKEN AIP)
- arXiv.org
- February 03, 2026
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- OTHERS (INTERNATIONAL)
- A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
- Akifumi Wachi, Hirota Kinoshita (Toyota Technological Institute at Chicago), Shokichi Takakura, Rei Higuchi (University of Tokyo/RIKEN AIP), Taiji Suzuki (University of Tokyo/RIKEN AIP)
- arXiv.org
- February 02, 2026
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- OTHERS (INTERNATIONAL)
- Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond
- Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
- arXiv.org
- September 08, 2025
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- OTHERS (INTERNATIONAL)
- FedDuA: Doubly Adaptive Federated Learning
- Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
- arXiv.org
- May 19, 2025
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- WORKSHOP (INTERNATIONAL)
- Accelerating Differentially Private Federated Learning via Adaptive Extrapolation
- Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
- Will Synthetic Data Finally Solve the Data Access Problem? Workshop at ICLR 2025
- April 28, 2025