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SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning., , , , , and . CoRR, (2018)The LORACs Prior for VAEs: Letting the Trees Speak for the Data., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3292-3301. PMLR, (2019)SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7444-7453. PMLR, (2019)Capturing Meaning in Product Reviews with Character-Level Generative Text Models., , and . CoRR, (2015)What Are Bayesian Neural Network Posteriors Really Like?, , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4629-4640. PMLR, (2021)Automatic structured variational inference., , , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 676-684. PMLR, (2021)The LORACs prior for VAEs: Letting the Trees Speak for the Data., , and . CoRR, (2018)How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?, , , , and . CoRR, (2019)Estimating Reactions and Recommending Products with Generative Models of Reviews., , , and . IJCNLP(1), page 783-791. Asian Federation of Natural Language Processing, (2017)Writing and sketching in the air, recognizing and controlling on the fly., , and . CHI Extended Abstracts, page 1179-1184. ACM, (2013)