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High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models., , , and . AAAI, page 1795-1801. AAAI Press, (2016)Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling., , , , , and . CoRR, (2016)Symmetric Variational Autoencoder and Connections to Adversarial Learning., , , , , and . CoRR, (2017)Generative Adversarial Network Training is a Continual Learning Problem., , , and . CoRR, (2018)Unsupervised Learning of Sentence Representations using Convolutional Neural Networks., , , , , and . CoRR, (2016)Skeleton Path Based Approach for Nonrigid 3D Shape Analysis and Retrieval., and . IWCIA, volume 6636 of Lecture Notes in Computer Science, page 84-95. Springer, (2011)Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization., , , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1051-1060. JMLR.org, (2016)Measuring the Intrinsic Dimension of Objective Landscapes., , , and . ICLR (Poster), OpenReview.net, (2018)Policy Optimization as Wasserstein Gradient Flows., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5741-5750. PMLR, (2018)Continuous-Time Flows for Efficient Inference and Density Estimation., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 823-832. PMLR, (2018)