AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results establish approximate accuracy of Gaussian approximation of the AMP iterates, which improves upon prior results and implies enhanced distributional characterizations for both optimally tuned Lasso and robust M-estimator.
This work considers a first-order sampler based on the leave-one-out denoiser for uniform and remasking processes whose coordinate updates can be performed in parallel, and derives an exact information-theoretic representation of the discretization error in terms of the mutual information between different coordinates...
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