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Nicolas Christianson
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Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems
N Christianson, J Shen, A Wierman
International Conference on Artificial Intelligence and Statistics, 9377-9399, 2023
342023
Chasing convex bodies and functions with black-box advice
N Christianson, T Handina, A Wierman
Conference on Learning Theory, 867-908, 2022
322022
Architecture and evolution of semantic networks in mathematics texts
NH Christianson, A Sizemore Blevins, DS Bassett
Proceedings of the Royal Society A 476 (2239), 20190741, 2020
322020
Smoothed online optimization with unreliable predictions
D Rutten, N Christianson, D Mukherjee, A Wierman
Proceedings of the ACM on Measurement and Analysis of Computing Systems 7 (1 …, 2023
28*2023
Sustaingym: Reinforcement learning environments for sustainable energy systems
C Yeh, V Li, R Datta, J Arroyo, N Christianson, C Zhang, Y Chen, ...
Advances in Neural Information Processing Systems 36, 59464-59476, 2023
21*2023
The online pause and resume problem: Optimal algorithms and an application to carbon-aware load shifting
A Lechowicz, N Christianson, J Zuo, N Bashir, M Hajiesmaili, A Wierman, ...
Proceedings of the ACM on Measurement and Analysis of Computing Systems 7 (3 …, 2023
182023
Online conversion with switching costs: Robust and learning-augmented algorithms
A Lechowicz, N Christianson, B Sun, N Bashir, M Hajiesmaili, A Wierman, ...
Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International …, 2024
142024
Dispatch-aware planning for feasible power system operation
N Christianson, L Werner, A Wierman, S Low
Electric Power Systems Research 212, 108597, 2022
72022
Optimizing the human learnability of abstract network representations
W Qian, CW Lynn, AA Klishin, J Stiso, NH Christianson, DS Bassett
Proceedings of the National Academy of Sciences 119 (35), e2121338119, 2022
62022
Online Algorithms with Uncertainty-Quantified Predictions
B Sun, J Huang, N Christianson, M Hajiesmaili, A Wierman
International Conference on Machine Learning, 47056-47077, 2024
52024
Robustifying machine-learned algorithms for efficient grid operation
N Christianson, C Yeh, T Li, MT Rad, A Golmohammadi, A Wierman
NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022
52022
End-to-end conformal calibration for optimization under uncertainty
C Yeh, N Christianson, A Wu, A Wierman, Y Yue
arXiv preprint arXiv:2409.20534, 2024
32024
SODA: An adaptive bitrate controller for consistent high-quality video streaming
T Chen, Y Lin, N Christianson, Z Akhtar, S Dharmaji, M Hajiesmaili, ...
Proceedings of the ACM SIGCOMM 2024 Conference, 613-644, 2024
22024
Chasing Convex Functions with Long-term Constraints
A Lechowicz, N Christianson, B Sun, N Bashir, M Hajiesmaili, A Wierman, ...
International Conference on Machine Learning, 26259-26289, 2024
22024
Risk-Sensitive Online Algorithms
N Christianson, B Sun, S Low, A Wierman
Conference on Learning Theory, 1140-1141, 2024
22024
Pricing uncertainty in stochastic multi-stage electricity markets
L Werner, N Christianson, A Zocca, A Wierman, S Low
2023 62nd IEEE Conference on Decision and Control (CDC), 1580-1587, 2023
22023
CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management
A Lechowicz, N Christianson, B Sun, N Bashir, M Hajiesmaili, A Wierman, ...
arXiv preprint arXiv:2408.07831, 2024
12024
Learning Dynamic Graphs, Too Slow
AA Klishin, NH Christianson, CSQ Siew, DS Bassett
arXiv preprint arXiv:2207.02177, 2022
12022
Fast and Reliable Contingency Screening with Input-Convex Neural Networks
N Christianson, W Cui, S Low, W Yang, B Zhang
arXiv preprint arXiv:2410.00796, 2024
2024
The role of disorder in facilitating conduction in ionic lattices: insights from Monte Carlo simulations and mean-field modeling
NH Christianson
Harvard College, 2020
2020
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Artigos 1–20