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Juhyeong Pang

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#machine learning Preprint Sep 2026

Uniform Race: Parameter-Free Approximate Rejection Sampling

We study approximate sampling: given $N$ independent samples from a proposal distribution $\mu$, the goal is to select one whose distribution is close to a target $\pi$ specified only up to a normalizing constant. Block and Polyanskiy (2023) provide finite budget error bounds for approximate rejection sampling (RS) as...

Seiyun Shin, Juhyeong Pang, Kwang-Sung Jun · 0 citations

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