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Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.

, , , , , and . Trans. Mach. Learn. Res., (2023)

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Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem., , and . ACC, page 3926-3931. IEEE, (2020)Optimal local and remote controllers with unreliable communication: the infinite horizon case., , and . ACC, page 6634-6639. IEEE, (2018)Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems., , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 121-130. AUAI Press, (2020)Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping., , , , , and . Trans. Mach. Learn. Res., (2023)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 high-order predictive distributions in deep learning., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1552-1560. PMLR, (2022)Decentralized Control of Stochastically Switched Linear System with Unreliable Communication., , and . ACC, page 4706-4711. IEEE, (2018)The Neural Testbed: Evaluating Joint Predictions., , , , , , , , , and . NeurIPS, (2022)