Christopher Yeh

According to our database, Christopher Yeh authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Learning for Robust Voltage Control Under Uncertain Grid Topology.

Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman

IEEE Trans. Smart Grid, September, 2024

End-to-End Conformal Calibration for Optimization Under Uncertainty.

Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue

CoRR, 2024

2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Robust online voltage control with an unknown grid topology.

Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Efficient Object Detection in Large Images Using Deep Reinforcement Learning.

Burak Uzkent, Christopher Yeh, Stefano Ermon

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

A Framework for Sample Efficient Interval Estimation with Control Variates.

Shengjia Zhao, Christopher Yeh, Stefano Ermon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2017

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning.

Anthony Perez, Christopher Yeh, George Azzari, Marshall Burke, David B. Lobell, Stefano Ermon

CoRR, 2017