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Hierarchical Variational Models., , и . CoRR, (2015)Automatic Differentiation Variational Inference., , , , и . CoRR, (2016)The $χ$-Divergence for Approximate Inference., , , , и . CoRR, (2016)Deep Classifiers with Label Noise Modeling and Distance Awareness., , , , , , , , , и . Trans. Mach. Learn. Res., (2022)Edward: A library for probabilistic modeling, inference, and criticism., , , , , и . CoRR, (2016)Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks., , , , , , , , и . CoRR, (2022)Larger language models do in-context learning differently., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors., , , , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 2782-2792. PMLR, (2020)Discrete Flows: Invertible Generative Models of Discrete Data., , , , и . NeurIPS, стр. 14692-14701. (2019)Variational Inference via Upper Bound Minimization., , , , и . NIPS, стр. 2732-2741. (2017)