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Dropout as a Bayesian Approximation: Appendix, и . (2015)cite arxiv:1506.02157Comment: 20 pages, 1 figure; ICML proceedings version.Active Learning under Pool Set Distribution Shift and Noisy Data., , и . CoRR, (2021)Quantifying Uncertainty for Machine Learning Based Diagnostic., , , и . CoRR, (2021)VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning., , , , , , и . ICLR, OpenReview.net, (2020)Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning, , и . (2019)cite arxiv:1907.00865.Speedy Performance Estimation for Neural Architecture Search., , , , , и . NeurIPS, стр. 4079-4092. (2021)Tractable Function-Space Variational Inference in Bayesian Neural Networks., , , и . NeurIPS, (2022)On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations., , , , и . NeurIPS, стр. 28376-28389. (2021)Improving black-box optimization in VAE latent space using decoder uncertainty., , и . NeurIPS, стр. 802-814. (2021)How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?, , , , , , , , , и . NeurIPS, (2020)