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ORCIDNicolas Christianson
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2020 – today
- 2024
[c11]Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman:
Risk-Sensitive Online Algorithms (Extended Abstract). COLT 2024: 1140-1141- [c10]Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba:
Online Algorithms with Uncertainty-Quantified Predictions. ICML 2024 - [c9]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Chasing Convex Functions with Long-term Constraints. ICML 2024 - [c8]Tianyu Chen
, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman:
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM 2024: 613-644 - [c7]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. SIGMETRICS/Performance (Abstracts) 2024: 45-46 - [c6]Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. SIGMETRICS/Performance (Abstracts) 2024: 47-48 - [i10]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Chasing Convex Functions with Long-term Constraints. CoRR abs/2402.14012 (2024) - [i9]Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman:
Risk-Sensitive Online Algorithms. CoRR abs/2405.09859 (2024) - [i8]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management. CoRR abs/2408.07831 (2024) - [i7]Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue:
End-to-End Conformal Calibration for Optimization Under Uncertainty. CoRR abs/2409.20534 (2024) - [i6]Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang:
Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks. CoRR abs/2410.00796 (2024) - 2023
- [j2]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Smoothed Online Optimization with Unreliable Predictions. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 12:1-12:36 (2023) - [j1]Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 45:1-45:32 (2023) - [c5]Nicolas Christianson, Junxuan Shen, Adam Wierman:
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. AISTATS 2023: 9377-9399 - [c4]Lucien Werner, Nicolas Christianson, Alessandro Zocca, Adam Wierman, Steven H. Low:
Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets. CDC 2023: 1580-1587 - [c3]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:
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS 2023 - [c2]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Smoothed Online Optimization with Unreliable Predictions. SIGMETRICS (Abstracts) 2023: 71-72 - [i5]Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. CoRR abs/2303.17551 (2023) - [i4]Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman:
Online Algorithms with Uncertainty-Quantified Predictions. CoRR abs/2310.11558 (2023) - [i3]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. CoRR abs/2310.20598 (2023) - 2022
- [c1]Nicolas Christianson, Tinashe Handina, Adam Wierman:
Chasing Convex Bodies and Functions with Black-Box Advice. COLT 2022: 867-908 - [i2]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Online Optimization with Untrusted Predictions. CoRR abs/2202.03519 (2022) - [i1]Nicolas Christianson, Tinashe Handina, Adam Wierman:
Chasing Convex Bodies and Functions with Black-Box Advice. CoRR abs/2206.11780 (2022)
Coauthor Index
aka: Mohammad H. Hajiesmaili
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