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Continuous-Time Flows for Efficient Inference and Density Estimation.

, , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 823-832. PMLR, (2018)

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Bayesian Deep Deconvolutional Learning., , and . CoRR, (2014)Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond., , , and . CoRR, (2013)Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling., , , , , and . CoRR, (2016)The matrix stick-breaking process for flexible multi-task learning., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 1063-1070. ACM, (2007)Continuous-Time Flows for Efficient Inference and Density Estimation., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 823-832. PMLR, (2018)Policy Optimization as Wasserstein Gradient Flows., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5741-5750. PMLR, (2018)Unsupervised Learning of Sentence Representations using Convolutional Neural Networks., , , , , and . CoRR, (2016)Second-Order Adversarial Attack and Certifiable Robustness., , , and . CoRR, (2018)Generative Adversarial Network Training is a Continual Learning Problem., , , and . CoRR, (2018)Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping., , , and . CoRR, (2021)