Yeh, Christopher

7 publications

NeurIPS 2025 Conformal Risk Training: End-to-End Optimization of Conformal Risk Control Christopher Yeh, Nicolas Christianson, Adam Wierman, Yisong Yue

TMLR 2025 End-to-End Conformal Calibration for Optimization Under Uncertainty Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue

NeurIPS 2025 Maximizing the Value of Predictions in Control: Accuracy Is Not Enough Yiheng Lin, Christopher Yeh, Zaiwei Chen, Adam Wierman

NeurIPS 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

AISTATS 2020 A Framework for Sample Efficient Interval Estimation with Control Variates Shengjia Zhao, Christopher Yeh, Stefano Ermon

WACV 2020 Efficient Object Detection in Large Images Using Deep Reinforcement Learning Burak Uzkent, Christopher Yeh, Stefano Ermon

ICLR 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