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20242026
most citedEstimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation

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math.ST2026

Convergence of Multi-Level Markov Chain Monte Carlo Adaptive Stochastic Gradient Algorithms

Antoine Godichon-Baggioni, Gabriel Lang, Sylvain Le Corff +2

Stochastic optimization in learning and inference often relies on Markov chain Monte Carlo (MCMC) to approximate gradients when exact computation is intractable. However, finite-ti…