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A Statistical Approach to Assessing Neural Network Robustness., , , и . ICLR (Poster), OpenReview.net, (2019)Poisson intensity estimation with reproducing kernels., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 270-279. PMLR, (2017)Multiplicative Interactions and Where to Find Them., , , , , , , , и . ICLR, OpenReview.net, (2020)Inferring ground truth from multi-annotator ordinal data: a probabilistic approach, и . CoRR, (2013)Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 575-584. PMLR, (2018)An Analysis of Categorical Distributional Reinforcement Learning., , , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 29-37. PMLR, (2018)Mix & Match Agent Curricula for Reinforcement Learning., , , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1095-1103. PMLR, (2018)Bayesian Learning via Stochastic Gradient Langevin Dynamics., и . ICML, стр. 681-688. Omnipress, (2011)Inference Trees: Adaptive Inference with Exploration, , , , , , и . (2018)cite arxiv:1806.09550.Approximate inference by Markov chains on union spaces., , и . ICML, том 69 из ACM International Conference Proceeding Series, ACM, (2004)