Nicolas Christianson

Orcid: 0000-0001-8330-8964

According to our database1, Nicolas Christianson authored at least 19 papers between 2022 and 2025.

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Bibliography

2025
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints.
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

Fast and Reliable N - k Contingency Screening with Input-Convex Neural Networks.
Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees.
Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

2024
Risk-Sensitive Online Algorithms.
SIGMETRICS Perform. Evaluation Rev., 2024

End-to-End Conformal Calibration for Optimization Under Uncertainty.
CoRR, 2024

CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management.
CoRR, 2024

The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms.
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.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Chasing Convex Functions with Long-term Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Algorithms with Uncertainty-Quantified Predictions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Risk-Sensitive Online Algorithms (Extended Abstract).
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Online Algorithms with Uncertainty-Quantified Predictions.
CoRR, 2023

Smoothed Online Optimization with Unreliable Predictions.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.
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.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Online Optimization with Untrusted Predictions.
CoRR, 2022

Chasing Convex Bodies and Functions with Black-Box Advice.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022


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