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Deep Learning with Bayesian Principles. (2019)Structured second-order methods via natural gradient descent., , , и . CoRR, (2021)Expectation-maximization (EM) algorithm for instantaneous frequency estimation with Kalman smoother., и . EUSIPCO, стр. 1797-1800. IEEE, (2004)A Generalization Bound for Online Variational Inference., , и . ACML, том 101 из Proceedings of Machine Learning Research, стр. 662-677. PMLR, (2019)AI for the Social Good (Dagstuhl Seminar 19082)., , , и . Dagstuhl Reports, 9 (2): 111-122 (2019)AI for Social Good (Dagstuhl Seminar 24082)., , , и . Dagstuhl Reports, 14 (2): 182-190 (2024)Conformal Prediction via Regression-as-Classification., , , , и . ICLR, OpenReview.net, (2024)Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI., , , , , , , , , и 15 other автор(ы). ICML, OpenReview.net, (2024)Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling., , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1108-1116. PMLR, (2018)Exploiting Inferential Structure in Neural Processes., , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 2089-2098. PMLR, (2023)