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Learning Item Trees for Probabilistic Modelling of Implicit Feedback, и . CoRR, (2011)Meta-Learning surrogate models for sequential decision making., , , , , , , и . CoRR, (2019)Progress & Compress: A scalable framework for continual learning., , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4535-4544. PMLR, (2018)Hijacking Malaria Simulators with Probabilistic Programming., , , , , и . CoRR, (2019)Top-down particle filtering for Bayesian decision trees., , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 280-288. JMLR.org, (2013)Mondrian Forests for Large-Scale Regression when Uncertainty Matters., , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 1478-1487. JMLR.org, (2016)Disentangling Disentanglement in Variational Autoencoders., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4402-4412. PMLR, (2019)Attentive Neural Processes., , , , , , , и . ICLR (Poster), OpenReview.net, (2019)Information asymmetry in KL-regularized RL., , , , , , , , , и . ICLR (Poster), OpenReview.net, (2019)Exploiting Hierarchy for Learning and Transfer in KL-regularized RL., , , , , , , , и . CoRR, (2019)