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Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling, , , and . arXiv preprint arXiv:2110.06021, (2021)Simple, Distributed, and Accelerated Probabilistic Programming., , , , , and . NeurIPS, page 7609-7620. (2018)tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware., , , , , , , , , and . CoRR, (2020)Effect Handling for Composable Program Transformations in Edward2., and . CoRR, (2018)Meta-Learning MCMC Proposals., , , and . NeurIPS, page 4150-4160. (2018)Automatic Reparameterisation of Probabilistic Programs., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3648-3657. PMLR, (2020)Automatic structured variational inference., , , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 676-684. PMLR, (2021)Training novel phonemic contrasts: a comparison of identification and oddity discrimination training., , and . SLaTE, page 121-124. ISCA, (2009)Simple, Distributed, and Accelerated Probabilistic Programming., , , , , , , and . CoRR, (2018)Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling., , , and . ICLR, OpenReview.net, (2022)