1 citations · 1 across the 6 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
Akifumi Wachi, Hirota Kinoshita, Shokichi Takakura +2
Reinforcement learning (RL) is a dominant paradigm for improving the reasoning abilities of large language models, yet its effectiveness varies across tasks and compute budgets. We…
cs.LG2024
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura, Taiji Suzuki
In this paper, we study the feature learning ability of two-layer neural networks in the mean-field regime through the lens of kernel methods. To focus on the dynamics of the kerne…
cs.LG2023★ 1 cited
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
Shokichi Takakura, Taiji Suzuki
Despite the great success of Transformer networks in various applications such as natural language processing and computer vision, their theoretical aspects are not well understood…