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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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Resampled Priors for Variational Autoencoders., and . CoRR, (2018)Deep AutoRegressive Networks., , and . CoRR, (2013)Restricted Boltzmann machines for collaborative filtering., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 791-798. ACM, (2007)Variational Inference for Monte Carlo Objectives., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2188-2196. JMLR.org, (2016)Particle Value Functions., , , , , , and . ICLR (Workshop), OpenReview.net, (2017)The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables., , and . ICLR (Poster), OpenReview.net, (2017)Neural Variational Inference and Learning in Belief Networks., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1791-1799. JMLR.org, (2014)Attentive Neural Processes., , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Score Modeling for Simulation-based Inference., , and . CoRR, (2022)Coupled Gradient Estimators for Discrete Latent Variables., , and . NeurIPS, page 24498-24508. (2021)