Nicolas Christianson

According to our database, Nicolas Christianson authored at least 17 papers between 2022 and 2024.

Collaborative distances:

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

2024

Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks.

Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang

CoRR, 2024

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

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

CoRR, 2024

CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management.

Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy

CoRR, 2024

Risk-Sensitive Online Algorithms.

Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman

CoRR, 2024

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms.

Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy

Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming.

Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Chasing Convex Functions with Long-term Constraints.

Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Algorithms with Uncertainty-Quantified Predictions.

Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Risk-Sensitive Online Algorithms (Extended Abstract).

Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.

Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy

Proc. ACM Meas. Anal. Comput. Syst., December, 2023

Smoothed Online Optimization with Unreliable Predictions.

Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman

Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Online Algorithms with Uncertainty-Quantified Predictions.

Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman

CoRR, 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

Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets.

Lucien Werner, Nicolas Christianson, Alessandro Zocca, Adam Wierman, Steven H. Low

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems.

Nicolas Christianson, Junxuan Shen, Adam Wierman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Online Optimization with Untrusted Predictions.

Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman

CoRR, 2022

Chasing Convex Bodies and Functions with Black-Box Advice.

Nicolas Christianson, Tinashe Handina, Adam Wierman

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022