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Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms.

, , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 489-498. PMLR, (2017)

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Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders., , , , , and . J. Mach. Learn. Res., (2016)Reparameterizing the Birkhoff Polytope for Variational Permutation Inference., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1618-1627. PMLR, (2018)BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos., , , , , , , , , and 3 other author(s). NeurIPS, page 15680-15691. (2019)Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation., , and . NIPS, page 3456-3464. (2015)Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems., , , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 914-922. PMLR, (2017)Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations., , , , and . NeurIPS, (2020)Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 489-498. PMLR, (2017)Poisson-Randomized Gamma Dynamical Systems., , , , and . NeurIPS, page 781-792. (2019)Learning Structured Neural Dynamics From Single Trial Population Recording., , , , and . ACSSC, page 666-670. IEEE, (2018)Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models., , , and . CoRR, (2022)