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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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Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting


Nov 05, 2021
Xiuyuan Lu, Yi Zhou, Shaojie Shen

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* Accepted for presentation at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) 

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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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GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation


Apr 01, 2021
Shaozu Cao, Xiuyuan Lu, Shaojie Shen

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GVINS: Tightly Coupled GNSS-Visual-Inertial for Smooth and Consistent State Estimation


Mar 14, 2021
Shaozu Cao, Xiuyuan Lu, Shaojie Shen

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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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