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Generating ordered list of Recommended Items: a Hybrid Recommender System of Microblog

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A Deep Generative Model for Disentangled Representations of Sequential Data., and . CoRR, (2018)Variational Continual Learning., , , and . CoRR, (2017)Deep Gaussian Processes for Regression using Approximate Expectation Propagation, , , , and . (2016)cite arxiv:1602.04133.Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072)., , , , and . Dagstuhl Reports, 13 (2): 47-70 (February 2023)Approximate inference: new visions.. University of Cambridge, UK, (2018)British Library, EThOS.Sparse Uncertainty Representation in Deep Learning with Inducing Weights., , , and . NeurIPS, page 6515-6528. (2021)Meta-Learning Divergences for Variational Inference., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 4024-4032. PMLR, (2021)Variational Implicit Processes., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4222-4233. PMLR, (2019)Dropout Inference in Bayesian Neural Networks with Alpha-divergences., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2052-2061. PMLR, (2017)Meta-Learning For Stochastic Gradient MCMC., , and . ICLR (Poster), OpenReview.net, (2019)