Nicolas Christianson

33 papers A* 6A 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prediction-Specific Design of Learning-Augmented Algorithms.
Proc. ACM Meas. Anal. Comput. Syst.
Sizhe Li, Nicolas Christianson, Tongxin Li
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
End-to-End Conformal Calibration for Optimization Under Uncertainty.
Trans. Mach. Learn. Res.
Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2025 — conf
Fast and Reliable N - k Contingency Screening with Input-Convex Neural Networks.
L4DC
Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang
2025 — conf
Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees.
e-Energy
Pengfei Li, Nicolas Christianson, Jianyi Yang, Adam Wierman, Shaolei Ren
2025 — conf
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints.
SIGMETRICS (Abstracts)
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025 J jnl
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints.
Proc. ACM Meas. Anal. Comput. Syst.
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025 J jnl
Online Smoothed Demand Management.
CoRR
Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025 J jnl
Prediction-Specific Design of Learning-Augmented Algorithms.
CoRR
Sizhe Li, Nicolas Christianson, Tongxin Li
2024 J jnl
CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management.
CoRR
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024 A* conf
Chasing Convex Functions with Long-term Constraints.
ICML
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024 J jnl
Chasing Convex Functions with Long-term Constraints.
CoRR
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
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
Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks.
CoRR
Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang
2024 A* conf
Online Algorithms with Uncertainty-Quantified Predictions.
ICML
Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba
2024 — conf
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms.
SIGMETRICS/Performance (Abstracts)
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024 A* conf
Risk-Sensitive Online Algorithms (Extended Abstract).
COLT
Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
2024 J jnl
Risk-Sensitive Online Algorithms.
CoRR
Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
2024 J jnl
Risk-Sensitive Online Algorithms.
SIGMETRICS Perform. Evaluation Rev.
Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
2024 A* conf
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming.
SIGCOMM
Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman
2024 — conf
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
SIGMETRICS/Performance (Abstracts)
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023 J jnl
Online Algorithms with Uncertainty-Quantified Predictions.
CoRR
Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman
2023 J jnl
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms.
CoRR
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023 A conf
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems.
AISTATS
Nicolas Christianson, Junxuan Shen, Adam Wierman
2023 — conf
Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets.
CDC
Lucien Werner, Nicolas Christianson, Alessandro Zocca, Adam Wierman, Steven H. Low
2023 — conf
Smoothed Online Optimization with Unreliable Predictions.
SIGMETRICS (Abstracts)
Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman
2023 J jnl
Smoothed Online Optimization with Unreliable Predictions.
Proc. ACM Meas. Anal. Comput. Syst.
Daan Rutten, Nicolas Christianson, Debankur Mukherjee, 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
2023 J jnl
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
CoRR
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023 J jnl
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
Proc. ACM Meas. Anal. Comput. Syst.
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2022 A* conf
Chasing Convex Bodies and Functions with Black-Box Advice.
COLT
Nicolas Christianson, Tinashe Handina, Adam Wierman
2022 J jnl
Chasing Convex Bodies and Functions with Black-Box Advice.
CoRR
Nicolas Christianson, Tinashe Handina, Adam Wierman
2022 J jnl
Online Optimization with Untrusted Predictions.
CoRR
Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman