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Robustness of Epinets against Distributional Shifts


Jul 01, 2022
Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy

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Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping


Jun 08, 2022
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy

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An Analysis of Ensemble Sampling


Mar 02, 2022
Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy

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Evaluating High-Order Predictive Distributions in Deep Learning


Feb 28, 2022
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy

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Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?


Oct 09, 2021
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy

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Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions


Jul 20, 2021
Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen

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Epistemic Neural Networks


Jul 19, 2021
Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy

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Joint Online Learning and Decision-making via Dual Mirror Descent


Apr 20, 2021
Alfonso Lobos, Paul Grigas, Zheng Wen

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Reinforcement Learning, Bit by Bit


Mar 14, 2021
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen

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