AI RESEARCH
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
arXiv CS.LG
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ArXi:2601.23252v2 Announce Type: replace-cross Model comparison and calibrated uncertainty quantification often require integrating over parameters, but scalable inference can be challenging for complex, multimodal targets. Nested Sampling is a robust alternative to standard MCMC, yet its typically sequential structure and hard constraints make efficient accelerator implementations difficult. This paper