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Dropout as a Bayesian Approximation: Appendix

, and . (2015)cite arxiv:1506.02157Comment: 20 pages, 1 figure; ICML proceedings version.

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Advanced Mean Field Methods---Theory and Practice, and . chapter Graphical models and variational methods, MIT Press, (2000)A Probabilistic Model for Online Document Clustering with Application to Novelty Detection, , and . Proc. NIPS, (2005)Bayesian Methods for Artificial Intelligence and Machine Learning.. ECAI, volume 178 of Frontiers in Artificial Intelligence and Applications, page 8. IOS Press, (2008)Modular decomposition in visuomotor learning, and . Nature, (March 1997)Latent-Space Variational Bayes., , and . IEEE Trans. Pattern Anal. Mach. Intell., 30 (12): 2236-2242 (2008)Unsupervised Many-to-Many Object Matching for Relational Data., , and . IEEE Trans. Pattern Anal. Mach. Intell., 38 (3): 607-617 (2016)Factorial hidden Markov models, , and . Machine learning, 29 (2-3): 245--273 (1997)Parameter Estimation for Linear Dynamical Systems, and . CRG-TR-96-2. Department of Computer Science, University of Toronto, (Feb 22, 1996)GPflow: A Gaussian process library using TensorFlow, , , , , , , and . (2016)cite arxiv:1610.08733.Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1050-1059. JMLR.org, (2016)