Xiuyuan Lu
10 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Methods
(2)
Techniques
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
thompson sampling
(5)
joint prediction
(3)
posterior distribution
(2)
neural network
(2)
ensemble sampling
(2)
predictive distribution
(2)
epistemic neural network
(2)
regret bound
(2)
information theory
(2)
uncertainty estimation
(2)
exploration-exploitation tradeoff
(1)
state estimation
(1)
velocity estimation
(1)
information gain
(1)
ensemble method
(1)
linear bandit
(1)
bayesian deep learning
(1)
visual odometry
(1)
online decision
(1)
bayesian exploration
(1)
Papers
Event-Aided Time-To-Collision Estimation for Autonomous Driving
ECCV 2024
Event-based Visual Inertial Velometer
RSS 2024
Approximate Thompson Sampling via Epistemic Neural Networks
UAI 2023
Epistemic Neural Networks
NeurIPS 2023
An Analysis of Ensemble Sampling
NeurIPS 2022
Evaluating high-order predictive distributions in deep learning
UAI 2022
The Neural Testbed: Evaluating Joint Predictions
NeurIPS 2022
Hypermodels for Exploration
ICLR 2020
Information-Theoretic Confidence Bounds for Reinforcement Learning
NeurIPS 2019
Ensemble Sampling
NeurIPS 2017