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Learnable Bernoulli Dropout for Bayesian Deep Learning.

, , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3905-3916. PMLR, (2020)

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VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 865-877. PMLR, (2022)NADS: Neural Architecture Distribution Search for Uncertainty Awareness., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 356-366. PMLR, (2020)Learnable Bernoulli Dropout for Bayesian Deep Learning., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3905-3916. PMLR, (2020)Switching-State Dynamical Modeling of Daily Behavioral Data., , , , , , and . J. Heal. Informatics Res., 2 (3): 228-247 (2018)VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition., , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 1359-1379. PMLR, (2022)Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 266-275. PMLR, (2019)