Christianson, Nicolas

9 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

L4DC 2025 Fast and Reliable $n - K$ Contingency Screening with Input-Convex Neural Networks Nicolas Christianson, Wenqi Cui, Steven Low, Weiwei Yang, Baosen Zhang

ICML 2024 Chasing Convex Functions with Long-Term Constraints Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy

ICML 2024 Online Algorithms with Uncertainty-Quantified Predictions Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba

COLT 2024 Risk-Sensitive Online Algorithms (Extended Abstract) Nicolas Christianson, Bo Sun, Steven Low, Adam Wierman

AISTATS 2023 Optimal Robustness-Consistency Tradeoffs for Learning-Augmented Metrical Task Systems Nicolas Christianson, Junxuan Shen, 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

COLT 2022 Chasing Convex Bodies and Functions with Black-Box Advice Nicolas Christianson, Tinashe Handina, Adam Wierman