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News/High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression
arxiv
PublishedSeptember 10, 2026 at 4:00 AM

High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression

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arXiv:2609.08873v1 Announce Type: cross Abstract: Sparsity is a powerful structural resource in optimization and statistics. We develop frameworks for leveraging sparsity in sampling problems over the Hamming slice $\mathcal{X}_k^d:=\{\mathbf{x}\in\{\pm 1\}^d:|\{i:\mathbf{x}_i=1\}|=k\}$, in high-dim

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