Xiuyuan Lu

Orcid: 0000-0001-6376-8584

According to our database1, Xiuyuan Lu authored at least 20 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.
Trans. Mach. Learn. Res., 2023

Reinforcement Learning, Bit by Bit.
Found. Trends Mach. Learn., 2023

RLHF and IIA: Perverse Incentives.
CoRR, 2023

Event-based Visual Inertial Velometer.
CoRR, 2023

Approximate Thompson Sampling via Epistemic Neural Networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Epistemic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation.
IEEE Trans. Robotics, 2022

Robustness of Epinets against Distributional Shifts.
CoRR, 2022

Evaluating high-order predictive distributions in deep learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

An Analysis of Ensemble Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Neural Testbed: Evaluating Joint Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
CoRR, 2021

Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions.
CoRR, 2021

Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts.
CoRR, 2020

Hypermodels for Exploration.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Information-Theoretic Confidence Bounds for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Efficient online recommendation via low-rank ensemble sampling.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017
Ensemble Sampling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017


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