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An Adaptive Learning Rate for Stochastic Variational Inference.

, , , and . ICML (2), volume 28 of JMLR Workshop and Conference Proceedings, page 298-306. JMLR.org, (2013)

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Deterministic Annealing for Stochastic Variational Inference., , , and . CoRR, (2014)Unsupervised learning of hierarchical representations with convolutional deep belief networks., , , and . Commun. ACM, 54 (10): 95-103 (2011)A dynamic risk score for early prediction of cardiogenic shock using machine learning., , , , , , , , , and 11 other author(s). CoRR, (2023)A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients., , , , , , , , , and 14 other author(s). npj Digit. Medicine, (2020)The Counterfactual χ-GAN: Finding comparable cohorts in observational health data., , , and . J. Biomed. Informatics, (2020)Noisin: Unbiased Regularization for Recurrent Neural Networks., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1251-1260. PMLR, (2018)Support and Invertibility in Domain-Invariant Representations., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 527-536. PMLR, (2019)Inverse-Weighted Survival Games., , , , , and . NeurIPS, page 2160-2172. (2021)Operator Variational Inference., , , and . NIPS, page 496-504. (2016)An Effective Meaningful Way to Evaluate Survival Models., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28244-28276. PMLR, (2023)