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Monte Carlo Gradient Estimation in Machine Learning

, , , and . (2019)cite arxiv:1906.10652Comment: 59 pages, under review.

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Deep AutoRegressive Networks., , and . CoRR, (2013)Particle Value Functions., , , , , , and . ICLR (Workshop), OpenReview.net, (2017)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)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)Resampled Priors for Variational Autoencoders., and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 66-75. PMLR, (2019)Deep AutoRegressive Networks., , , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1242-1250. JMLR.org, (2014)Variational Memory Addressing in Generative Models., , , and . NIPS, page 3920-3929. (2017)Learning Label Trees for Probabilistic Modelling of Implicit Feedback., and . NIPS, page 2825-2833. (2012)