selected talk recordings

Caltech CAST Flash Talk, October 2023
Amii AI Seminar, July 2024

publications

2024

  1. Risk-Sensitive Online Algorithms
    N. Christianson, B. Sun, and 2 more authors
    Conference on Learning Theory, 2024
  2. End-to-End Conformal Calibration for Optimization Under Uncertainty
    C. Yeh*, N. Christianson*, and 3 more authors
    Under review, 2024
  3. Fast and Reliable N−k Contingency Screening with Input-Convex Neural Networks
    N. Christianson, W. Cui, and 3 more authors
    Under review, 2024
  4. CarbonClipper: Optimal Algorithms for
    Carbon-Aware Spatiotemporal Workload Management
    A. Lechowicz, N. Christianson, and 5 more authors
    Under submission, 2024
  5. The Online Pause and Resume Problem:
    Optimal Algorithms and An Application to Carbon-Aware Load Shifting
    A. Lechowicz, N. Christianson, and 5 more authors
    ACM SIGMETRICS/IFIP Performance, 2024
  6. Online Conversion with Switching Costs: Robust and Learning-augmented Algorithms
    A. Lechowicz, N. Christianson, and 5 more authors
    ACM SIGMETRICS/IFIP PERFORMANCE, 2024
  7. Online Algorithms with Uncertainty-Quantified Predictions
    B. Sun, J. Huang, N. Christianson, and 3 more authors
    International Conference on Machine Learning, 2024
  8. Chasing Convex Functions with Long-term Constraints
    A. Lechowicz, N. Christianson, and 5 more authors
    International Conference on Machine Learning, 2024
  9. SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming
    T. Chen, Y. Lin, N. Christianson, and 5 more authors
    Proceedings of the ACM SIGCOMM Conference, 2024

2023

  1. Optimal Robustness-Consistency Tradeoffs for Learning-Augmented
    Metrical Task Systems
    N. Christianson, J. Shen, and A. Wierman
    International Conference on Artificial Intelligence and Statistics, 2023
  2. SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
    C. Yeh, V. Li, R. Datta, J. Arroyo, N. Christianson, and 7 more authors
    Neural Information Processing Systems Datasets and Benchmarks Track, 2023
  3. Pricing uncertainty in stochastic multi-stage electricity markets
    N. Christianson, L. Werner, and 3 more authors
    62nd IEEE Conference on Decision and Control, 2023
  4. Smoothed online optimization with unreliable predictions
    D. Rutten, N. Christianson, and 2 more authors
    ACM SIGMETRICS, 2023

2022

  1. Chasing convex bodies and functions with black-box advice
    N. Christianson, T. Handina, and A. Wierman
    Conference on Learning Theory, 2022
  2. Dispatch-aware planning for feasible power system operation
    N. Christianson, L. Werner, and 2 more authors
    Electric Power Systems Research, 2022
  3. Optimizing the human learnability of abstract network representations
    W. Qian, C. Lynn, A. Klishin, J. Stiso, N. Christianson, and D. Bassett
    Proceedings of the National Academy of Sciences, 2022
  4. Learning Dynamic Graphs, Too Slow
    A. Klishin, N. Christianson, and 2 more authors
    Preprint, 2022

2020

  1. Architecture and evolution of semantic networks in mathematics texts
    N. Christianson, A. Sizemore Blevins, and D. Bassett
    Proceedings of the Royal Society A, 2020

2016

  1. Structural and Functional Influence of the Glycine-Rich Loop G302GGGY
    on the Catalytic Tyrosine of Histone Deacetylase 8
    N. Porter, N. Christianson, and 2 more authors
    Biochemistry, 2016

2015

  1. Biochemical and Structural Characterization of HDAC8 Mutants
    Associated with Cornelia de Lange Syndrome Spectrum Disorders
    C. Decroos, N. Christianson, and 5 more authors
    Biochemistry, 2015