Xiuyuan Lu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Tightly Coupled

Motion Segmentation

Probabilistic Inference

Top Venues

IEEE Trans. Robotics

Publications

Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou
Event-Aided Time-to-Collision Estimation for Autonomous Driving. CoRR (2024)
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. Trans. Mach. Learn. Res. 2023 (2023)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
Approximate Thompson Sampling via Epistemic Neural Networks. UAI (2023)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
Approximate Thompson Sampling via Epistemic Neural Networks. CoRR (2023)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
Epistemic Neural Networks. NeurIPS (2023)
Xiuyuan Lu, Yi Zhou, Shaojie Shen
Event-based Visual Inertial Velometer. CoRR (2023)
Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen
Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
RLHF and IIA: Perverse Incentives. CoRR (2023)
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
Reinforcement Learning, Bit by Bit. Found. Trends Mach. Learn. 16 (6) (2023)
Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
An Analysis of Ensemble Sampling. CoRR (2022)
Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy
Robustness of Epinets against Distributional Shifts. CoRR (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
Evaluating high-order predictive distributions in deep learning. UAI (2022)
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. CoRR (2022)
Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
An Analysis of Ensemble Sampling. NeurIPS (2022)
Shaozu Cao, Xiuyuan Lu, Shaojie Shen
GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation. IEEE Trans. Robotics 38 (4) (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
Evaluating High-Order Predictive Distributions in Deep Learning. CoRR (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
The Neural Testbed: Evaluating Joint Predictions. NeurIPS (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? CoRR (2021)
Xiuyuan Lu, Yi Zhou, Shaojie Shen
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. CoRR (2021)
Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen
Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions. CoRR (2021)
Xiuyuan Lu, Yi Zhou, Shaojie Shen
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. IROS (2021)
Shaozu Cao, Xiuyuan Lu, Shaojie Shen
GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation. CoRR (2021)
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
Reinforcement Learning, Bit by Bit. CoRR (2021)
Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts. CoRR (2020)
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
Hypermodels for Exploration. ICLR (2020)
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
Hypermodels for Exploration. CoRR (2020)
Xiuyuan Lu, Benjamin Van Roy
Information-Theoretic Confidence Bounds for Reinforcement Learning. CoRR (2019)
Xiuyuan Lu, Benjamin Van Roy
Information-Theoretic Confidence Bounds for Reinforcement Learning. NeurIPS (2019)
Xiuyuan Lu, Zheng Wen, Branislav Kveton
Efficient online recommendation via low-rank ensemble sampling. RecSys (2018)
Xiuyuan Lu, Benjamin Van Roy
Ensemble Sampling. NIPS (2017)
Xiuyuan Lu, Benjamin Van Roy
Ensemble Sampling. CoRR (2017)