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Xiuyuan Lu
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2020 – today
- 2024
- [c11]Jinghang Li
, Bangyan Liao, Xiuyuan Lu
Event-Aided Time-to-Collision Estimation for Autonomous Driving. ECCV (54) 2024: 57-73 - [i18]Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou:
Event-Aided Time-to-Collision Estimation for Autonomous Driving. CoRR abs/2407.07324 (2024) - [i17]Junkai Niu, Sheng Zhong, Xiuyuan Lu, Shaojie Shen, Guillermo Gallego, Yi Zhou:
ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras. CoRR abs/2410.09374 (2024) - 2023
- [j4]Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen:
Reinforcement Learning, Bit by Bit. Found. Trends Mach. Learn. 16(6): 733-865 (2023) - [j3]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) - [j2]Yi Zhou
Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4868-4880 (2023) - [c10]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy:
Epistemic Neural Networks. NeurIPS 2023 - [c9]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: 1586-1595 - [i16]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy:
Approximate Thompson Sampling via Epistemic Neural Networks. CoRR abs/2302.09205 (2023) - [i15]Xiuyuan Lu, Yi Zhou, Shaojie Shen:
Event-based Visual Inertial Velometer. CoRR abs/2311.18189 (2023) - [i14]Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy:
RLHF and IIA: Perverse Incentives. CoRR abs/2312.01057 (2023) - 2022
- [j1]Shaozu Cao
GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation. IEEE Trans. Robotics 38(4): 2004-2021 (2022) - [c8]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 - [c7]Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy:
An Analysis of Ensemble Sampling. NeurIPS 2022 - [c6]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy:
Evaluating high-order predictive distributions in deep learning. UAI 2022: 1552-1560 - [i13]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy:
Evaluating High-Order Predictive Distributions in Deep Learning. CoRR abs/2202.13509 (2022) - [i12]Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy:
An Analysis of Ensemble Sampling. CoRR abs/2203.01303 (2022) - [i11]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 abs/2206.03633 (2022) - [i10]Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy:
Robustness of Epinets against Distributional Shifts. CoRR abs/2207.00137 (2022) - 2021
- [c5]Xiuyuan Lu, Yi Zhou, Shaojie Shen:
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. IROS 2021: 4445-4452 - [i9]Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen:
Reinforcement Learning, Bit by Bit. CoRR abs/2103.04047 (2021) - [i8]Shaozu Cao, Xiuyuan Lu, Shaojie Shen:
GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation. CoRR abs/2103.07899 (2021) - [i7]Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen:
Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions. CoRR abs/2107.09224 (2021) - [i6]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 abs/2110.04629 (2021) - [i5]Xiuyuan Lu, Yi Zhou, Shaojie Shen:
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. CoRR abs/2111.03483 (2021) - 2020
- [c4]Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy:
Hypermodels for Exploration. ICLR 2020 - [i4]Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy:
Hypermodels for Exploration. CoRR abs/2006.07464 (2020) - [i3]Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen:
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts. CoRR abs/2012.08730 (2020)
2010 – 2019
- 2019
- [c3]Xiuyuan Lu, Benjamin Van Roy:
Information-Theoretic Confidence Bounds for Reinforcement Learning. NeurIPS 2019: 2458-2466 - [i2]Xiuyuan Lu, Benjamin Van Roy:
Information-Theoretic Confidence Bounds for Reinforcement Learning. CoRR abs/1911.09724 (2019) - 2018
- [c2]Xiuyuan Lu, Zheng Wen, Branislav Kveton:
Efficient online recommendation via low-rank ensemble sampling. RecSys 2018: 460-464 - 2017
- [c1]Xiuyuan Lu, Benjamin Van Roy:
Ensemble Sampling. NIPS 2017: 3258-3266 - [i1]Xiuyuan Lu, Benjamin Van Roy:
Ensemble Sampling. CoRR abs/1705.07347 (2017)
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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