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Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling., , and . IJCAI, page 4811-4815. ijcai.org, (2017)Ringtail: A Generalized Nowcasting System., , , , , and . Proc. VLDB Endow., 6 (12): 1358-1361 (2013)Snorkel: rapid training data creation with weak supervision, , , , , and . The VLDB Journal, 29 (2): 709--730 (May 1, 2020)Learning the Structure of Generative Models without Labeled Data., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 273-282. PMLR, (2017)Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs, , , , and . (2016)cite arxiv:1606.04487.Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1264-1274. PMLR, (2019)Hyperbolic Graph Convolutional Neural Networks., , , and . CoRR, (2019)Query Containment of Tier-2 Queries over a Probabilistic Database., , , and . MUD, volume WP09-14 of CTIT Workshop Proceedings Series, page 47-62. Centre for Telematics and Information Technology (CTIT), University of Twente, The Netherlands, (2009)Effectively creating weakly labeled training examples via approximate domain knowledge, , , , , and . Inductive Logic Programming, Springer, (2015)Tuffy: Scaling Up Statistical Inference in Markov Logic Networks Using an RDBMS, , , and . Proceedings of the VLDB Endowment, 4 (6): 373--384 (2011)