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Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
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AI Theory Sampling 🏢 Georgia Institute of Technology
Zeroth-Order Diffusion Monte Carlo (ZOD-MC) efficiently samples from non-log-concave distributions using only zeroth-order queries, overcoming metastability issues and outperforming state-of-the-art s…