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Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping., , , , , and . Trans. Mach. Learn. Res., (2023)Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement., , , and . CoRR, (2017)Optimal Local and Remote Controllers With Unreliable Uplink Channels., , and . IEEE Trans. Automat. Contr., 64 (5): 1816-1831 (2019)Approximate Thompson Sampling via Epistemic Neural Networks., , , , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1586-1595. PMLR, (2023)Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement., , , and . ICC, page 1-6. IEEE, (2018)Learning to Code: Coded Caching via Deep Reinforcement Learning., and . ACSSC, page 1774-1778. IEEE, (2019)Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?, , , , , , , , , and . CoRR, (2021)Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping., , , , , and . CoRR, (2022)Evaluating high-order predictive distributions in deep learning., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1552-1560. PMLR, (2022)Optimal Infinite Horizon Decentralized Networked Controllers with Unreliable Communication., , and . CoRR, (2018)