Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning. - Anthony Perez 002; Christopher Yeh; George Azzari; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2017)

A Framework for Sample Efficient Interval Estimation with Control Variates. - Shengjia Zhao; Christopher Yeh; Stefano Ermon (AISTATS, 2020)

Selection via Proxy: Efficient Data Selection for Deep Learning. - Cody Coleman; Christopher Yeh; Stephen Mussmann; Baharan Mirzasoleiman; Peter Bailis; Percy Liang; Jure Leskovec; Matei Zaharia (ICLR, 2020)

Efficient Object Detection in Large Images Using Deep Reinforcement Learning. - Burak Uzkent; Christopher Yeh; Stefano Ermon (WACV, 2020)

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. - Christopher Yeh; Chenlin Meng; Sherrie Wang; Anne Driscoll; Erik Rozi; Patrick Liu; Jihyeon Janel Lee; Marshall Burke; David B. Lobell; Stefano Ermon (NeurIPS Datasets and Benchmarks, 2021)

Robust online voltage control with an unknown grid topology. - Christopher Yeh; Jing Yu 010; Yuanyuan Shi; Adam Wierman (e-Energy, 2022)

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. - Christopher Yeh; Victor Li; Rajeev Datta; Julio Arroyo; Nicolas Christianson; Chi Zhang; Yize Chen; Mohammad Mehdi Hosseini; Azarang Golmohammadi; Yuanyuan Shi; Yisong Yue; Adam Wierman (NeurIPS, 2023)

End-to-End Conformal Calibration for Optimization Under Uncertainty. - Christopher Yeh; Nicolas Christianson; Alan Wu; Adam Wierman; Yisong Yue (CoRR, 2024)

Online Learning for Robust Voltage Control Under Uncertain Grid Topology. - Christopher Yeh; Jing Yu 010; Yuanyuan Shi; Adam Wierman (IEEE Trans. Smart Grid, 2024)