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Monte Carlo Gradient Estimation in Machine Learning

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Resampled Priors for Variational Autoencoders., and . CoRR, (2018)Restricted Boltzmann machines for collaborative filtering., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 791-798. ACM, (2007)Particle Value Functions., , , , , , and . ICLR (Workshop), OpenReview.net, (2017)Deep AutoRegressive Networks., , and . CoRR, (2013)The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables., , and . ICLR (Poster), OpenReview.net, (2017)Variational Inference for Monte Carlo Objectives., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2188-2196. JMLR.org, (2016)Improving a statistical language model through non-linear prediction., , and . Neurocomputing, 72 (7-9): 1414-1418 (2009)Sparse Orthogonal Variational Inference for Gaussian Processes, , and . (2019)cite arxiv:1910.10596.Monte Carlo Gradient Estimation in Machine Learning, , , and . (2019)cite arxiv:1906.10652Comment: 59 pages, under review.Attentive Neural Processes, , , , , , , and . (2019)cite arxiv:1901.05761.