Shokichi Takakura

11 papers A* 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning. CoRR Akifumi Wachi, Hirota Kinoshita, Shokichi Takakura, Rei Higuchi, Taiji Suzuki
2026	J	`jnl`	DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule. CoRR Tomoya Matsumoto, Shokichi Takakura, Shun Takagi, Satoshi Hasegawa
2026	J	`jnl`	Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO. CoRR Shokichi Takakura, Akifumi Wachi, Rei Higuchi, Kohei Miyaguchi, Taiji Suzuki
2025	J	`jnl`	Accelerating Differentially Private Federated Learning via Adaptive Extrapolation. CoRR Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
2025	J	`jnl`	FedDuA: Doubly Adaptive Federated Learning. CoRR Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
2025	J	`jnl`	Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond. CoRR Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
2024	A*	`conf`	Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective. ICML Shokichi Takakura, Taiji Suzuki
2024	J	`jnl`	Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective. CoRR Shokichi Takakura, Taiji Suzuki
2024	J	`jnl`	Structured Output Feedback Control for Linear Quadratic Regulator Using Policy Gradient Method. IEEE Trans. Autom. Control. Shokichi Takakura, Kazuhiro Sato
2023	A*	`conf`	Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input. ICML Shokichi Takakura, Taiji Suzuki
2023	J	`jnl`	Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input. CoRR Shokichi Takakura, Taiji Suzuki