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Structured second-order methods via natural gradient descent., , , and . CoRR, (2021)AI for the Social Good (Dagstuhl Seminar 19082)., , , and . Dagstuhl Reports, 9 (2): 111-122 (2019)A Generalization Bound for Online Variational Inference., , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 662-677. PMLR, (2019)Expectation-maximization (EM) algorithm for instantaneous frequency estimation with Kalman smoother., and . EUSIPCO, page 1797-1800. IEEE, (2004)Conformal Prediction via Regression-as-Classification., , , , and . ICLR, OpenReview.net, (2024)AI for Social Good (Dagstuhl Seminar 24082)., , , and . Dagstuhl Reports, 14 (2): 182-190 (2024)Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI., , , , , , , , , and 15 other author(s). ICML, OpenReview.net, (2024)Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling., , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1108-1116. PMLR, (2018)Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models., and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 878-887. PMLR, (2017)Exploiting Inferential Structure in Neural Processes., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2089-2098. PMLR, (2023)