Christopher Yeh

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Stefano ErmonStanford UniversityVerified email at cs.stanford.edu
Marshall BurkeStanford UniversityVerified email at stanford.edu
David LobellStanford UniversityVerified email at stanford.edu
George AzzariResearch Associate - Stanford UniversityVerified email at stanford.edu
Anne DriscollNew York UniversityVerified email at nyu.edu
Adam WiermanCarl F Braun Professor of Computing+Mathematical Sciences, CaltechVerified email at caltech.edu
Zhongyi TangPhD Candidate, Boston UniversityVerified email at bu.edu
Cody ColemanCoactive AIVerified email at cs.stanford.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Matei ZahariaUC Berkeley and DatabricksVerified email at berkeley.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Baharan MirzasoleimanUCLAVerified email at cs.ucla.edu
Peter BailisGoogleVerified email at google.com
Burak UzkentAmazon, Stanford UniversityVerified email at cs.stanford.edu
Nicolas ChristiansonCalifornia Institute of TechnologyVerified email at caltech.edu
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIVerified email at caltech.edu
Yuanyuan ShiAssistant Professor, UCSDVerified email at ucsd.edu
Chenlin MengStanford UniversityVerified email at stanford.edu
Sherrie WangAssistant Professor, MITVerified email at mit.edu
Erik RoziStanford UniversityVerified email at stanford.edu

Christopher Yeh

California Institute of Technology

Verified email at caltech.edu - Homepage

machine learning sustainability


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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	500	2020
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	352	2020
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	131	2020
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	76	2017
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	61	2021
Detecting duplicate questions with deep learning Y Homma, S Sy, C Yeh	40	2016
Reinforcement learning for traffic optimization M Stevens, C Yeh Tech. rep. Stanford University. url: http://cs229. stanford. edu/proj2016spr …, 2016	24	2016
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	11	2022
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	10	2023
Online learning for robust voltage control under uncertain grid topology C Yeh, J Yu, Y Shi, A Wierman IEEE Transactions on Smart Grid, 2024	4	2024
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	4	2022
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	3	2024
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	3	2022
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	2	2020
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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