Title

Asynchronous and Distributed Data Augmentation for Massive Data Settings

Talk Title

Data Augmentation MCMC for Bayesian Inference from Privatized Data

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MCMC with Multiple Proposals

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Sampling with Langevin Monte Carlo: Recent Progress

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Constraining the Geometric Rate of Convergence of Random Walk Metropolis-Hastings

Title

MCMC Methods for Sparse Deep Learning

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Removing needles from the haystack: Challenges and strategies for de-identification in a world of open data