Yuta Koike

activity

20132026

most citedImproved Central Limit Theorem and bootstrap approximations in high dimensions

25 citations · 89 across the 33 of their papers we have counts for

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4 papers · 1 filter

math.PR2026

Martingale central limit theorems in $p$ -Wasserstein distance

Xiao Fang, Yuta Koike, Zi-Yao Su

We obtain multivariate martingale central limit theorems in $p$ -Wasserstein distance with respect to the $ℓ_{r}$ norm in $R^{d}$ for $p \geq 1$ and $r \in [1, \infty]$ , which…

stat.ML2026

Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process

Yuta Koike

This paper studies sampling error bounds for denoising diffusion probabilistic models (DDPMs) in the 2-Wasserstein distance. Our contributions are threefold. (i) Under general Lips…

stat.ML2026

Connections between the Föllmer process and the denoising diffusion probabilistic model

Yuta Koike

The Föllmer process is a Brownian motion conditioned to have a pre-specified distribution at time 1. This process can be interpreted as an ``augmented'' time-compressed version of…

math.ST2026

On lead-lag estimation of non-synchronously observed point processes

Takaaki Shiotani, Takaki Hayashi, Yuta Koike

This paper introduces a new theoretical framework for analyzing lead-lag relationships between point processes, with a special focus on applications to high-frequency financial dat…

Martingale central limit theorems in p-Wasserstein distance

Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process

Connections between the Föllmer process and the denoising diffusion probabilistic model

On lead-lag estimation of non-synchronously observed point processes

Martingale central limit theorems in $p$ -Wasserstein distance