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Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings.

, , , and . CoRR, (2019)

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Collapsed Variational Dirichlet Process Mixture Models., , and . IJCAI, page 2796-2801. (2007)Dual Space Preconditioning for Gradient Descent, , , and . (2019)cite arxiv:1902.02257Comment: Major revision, including simpler equivalent conditions for dual relative smoothness and applications to exponential penalty functions and p-norm regression.Hierarchical Bayesian Nonparametric Models with Applications, and . (2008)Disentangling Disentanglement in Variational Autoencoders., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4402-4412. PMLR, (2019)Learning Item Trees for Probabilistic Modelling of Implicit Feedback, and . CoRR, (2011)Exploiting Hierarchy for Learning and Transfer in KL-regularized RL., , , , , , , , and . CoRR, (2019)Meta-Learning surrogate models for sequential decision making., , , , , , , and . CoRR, (2019)Progress & Compress: A scalable framework for continual learning., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4535-4544. PMLR, (2018)Top-down particle filtering for Bayesian decision trees., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 280-288. JMLR.org, (2013)Mondrian Forests for Large-Scale Regression when Uncertainty Matters., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1478-1487. JMLR.org, (2016)