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Showing 1 to 2 of 2 for “"Metropolis-Adjusted Langevin Algorithm"”.
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An optimization perspective on log-concave sampling and beyond
… taking inspiration from the proximal point algorithm in optimization; an improved and sharp analysis of the Metropolis-adjusted Langevin algorithm, yielding new state-of-the-art guarantees for high-accuracy log-concave sampling; the first lower bounds for the complexity of log-concave …
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Time-Varying Coefficient Models for Recurrent Events
… and the log baseline intensity. An EM algorithm is developed for parameter estimation. One issue with this approach is that the estimating procedure is conditional on smoothing parameters, which have to be selected by cross-validation or optimizing certain performance criterion. The …