Christopher Yeh
5 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird
π
Conference Pioneer
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Research topics
Keywords
active learning
(1)
deep reinforcement learning
(1)
reinforcement learning
(1)
object detection
(1)
coreset selection
(1)
distribution shift
(1)
end-to-end learning
(1)
control variate
(1)
confidence interval
(1)
regression model
(1)
agent system
(1)
electric vehicle
(1)
electric vehicle charging
(1)
proxy model
(1)
interval estimation
(1)
order statistic
(1)
spatial resolution
(1)
input convex neural network
(1)
multi-agent system
(1)
carbon-aware scheduling
(1)
Papers
Improving EV Aggregate Flexibility with End-to-End Learning
L4DC 2026
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
NeurIPS 2023
A Framework for Sample Efficient Interval Estimation with Control Variates
AISTATS 2020
Efficient Object Detection in Large Images Using Deep Reinforcement Learning
WACV 2020
Selection via Proxy: Efficient Data Selection for Deep Learning
ICLR 2020