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Christopher Yeh
Christopher Yeh
California Institute of Technology
Verificeret mail på caltech.edu - Startside
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Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
C Yeh, A Perez, A Driscoll, G Azzari, Z Tang, D Lobell, S Ermon, M Burke
Nature Communications 11 (1), 2583, 2020
5012020
Selection via Proxy: Efficient Data Selection for Deep Learning
C Coleman, C Yeh, S Mussmann, B Mirzasoleiman, P Bailis, P Liang, ...
International Conference on Learning Representations, 2020
3562020
Efficient object detection in large images using deep reinforcement learning
B Uzkent, C Yeh, S Ermon
The IEEE Winter Conference on Applications of Computer Vision (WACV), 1824-1833, 2020
1312020
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning
A Perez, C Yeh, G Azzari, M Burke, D Lobell, S Ermon
NIPS 2017 Workshop on Machine Learning for the Developing World, 2017
772017
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
C Yeh, C Meng, S Wang, A Driscoll, E Rozi, P Liu, J Lee, M Burke, ...
Thirty-fifth Conference on Neural Information Processing Systems, Datasets …, 2021
622021
Detecting duplicate questions with deep learning
Y Homma, S Sy, C Yeh
402016
Reinforcement learning for traffic optimization
M Stevens, C Yeh
Tech. rep. Stanford University. url: http://cs229. stanford. edu/proj2016spr …, 2016
242016
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
C Yeh, V Li, R Datta, J Arroyo, N Christianson, C Zhang, Y Chen, ...
Advances in Neural Information Processing Systems 36, 2023
112023
Robust online voltage control with an unknown grid topology
C Yeh, J Yu, Y Shi, A Wierman
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
112022
Online learning for robust voltage control under uncertain grid topology
C Yeh, J Yu, Y Shi, A Wierman
IEEE Transactions on Smart Grid, 2024
42024
Robustifying machine-learned algorithms for efficient grid operation
N Christianson, C Yeh, T Li, MT Rad, A Golmohammadi, A Wierman
NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022
42022
End-to-End Conformal Calibration for Optimization Under Uncertainty
C Yeh, N Christianson, A Wu, A Wierman, Y Yue
arXiv preprint arXiv:2409.20534, 2024
32024
SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications
C Yeh, V Li, R Datta, Y Yue, A Wierman
NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022
32022
A Framework for Sample Efficient Interval Estimation with Control Variates
S Zhao, C Yeh, S Ermon
Proceedings of the Twenty Third International Conference on Artificial …, 2020
22020
Decision-aware uncertainty-calibrated deep learning for robust energy system operation
C Yeh, N Christianson, S Low, A Wierman, Y Yue
ICLR 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
2023
Deep learning for understanding economic well-being in Africa from publicly available satellite imagery
C Yeh, A Perez, A Driscoll, G Azzari, Z Tang, D Lobell, S Ermon, M Burke
NeurIPS 2020 Workshop on Machine Learning for Economic Policy, 2020
2020
Comparing Producer-Consumer Implementations in Go, Rust, and C
G Fisher, C Yeh
2017
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Artikler 1–17