Christopher Yeh

19 papers A* 2A 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization. CoRR Chengrui Qu, Christopher Yeh, Kishan Panaganti, Eric Mazumdar, Adam Wierman
2025	J	`jnl`	Conformal Risk Training: End-to-End Optimization of Conformal Risk Control. CoRR Christopher Yeh, Nicolas Christianson, Adam Wierman, Yisong Yue
2025	J	`jnl`	Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization. CoRR Zihao Zhao, Christopher Yeh, Lingkai Kong, Kai Wang
2025	J	`jnl`	End-to-End Conformal Calibration for Optimization Under Uncertainty. Trans. Mach. Learn. Res. Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2024	J	`jnl`	End-to-End Conformal Calibration for Optimization Under Uncertainty. CoRR Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2024	J	`jnl`	Online Learning for Robust Voltage Control Under Uncertain Grid Topology. IEEE Trans. Smart Grid Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2023	J	`jnl`	Online learning for robust voltage control under uncertain grid topology. CoRR Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2023	A*	`conf`	SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS 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
2022	J	`jnl`	Robust Online Voltage Control with an Unknown Grid Topology. CoRR Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2022	—	`conf`	Robust online voltage control with an unknown grid topology. e-Energy Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2021	—	`conf`	SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
2021	J	`jnl`	SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
2020	A	`conf`	A Framework for Sample Efficient Interval Estimation with Control Variates. AISTATS Shengjia Zhao, Christopher Yeh, Stefano Ermon
2020	J	`jnl`	A Framework for Sample Efficient Interval Estimation with Control Variates. CoRR Shengjia Zhao, Christopher Yeh, Stefano Ermon
2020	A	`conf`	Efficient Object Detection in Large Images Using Deep Reinforcement Learning. WACV Burak Uzkent, Christopher Yeh, Stefano Ermon
2020	A*	`conf`	Selection via Proxy: Efficient Data Selection for Deep Learning. ICLR Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia
2019	J	`jnl`	Efficient Object Detection in Large Images using Deep Reinforcement Learning. CoRR Burak Uzkent, Christopher Yeh, Stefano Ermon
2019	J	`jnl`	Selection Via Proxy: Efficient Data Selection For Deep Learning. CoRR Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia
2017	J	`jnl`	Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning. CoRR Anthony Perez, Christopher Yeh, George Azzari, Marshall Burke, David B. Lobell, Stefano Ermon