publications

2026

  1. Worst-case low-rank approximations
    Anya Fries, Markus Reichstein, David Blei, and Jonas Peters
    arXiv preprint arXiv:2603.11304, 2026
    arXiv
  2. FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes
    Anya Fries, Jacob A. Nelson, Martin Jung, Markus Reichstein, and Jonas Peters
    In Advances in Neural Information Processing Systems, 2026
    Spotlight arXiv
  3. Anchor PCA
    Benedikt Seiter, Anya Fries, Julius Kügelgen, and Jonas Peters
    In Advances in Neural Information Processing Systems, 2026
    arXiv

2025

  1. Maximum Risk Minimization with Random Forests
    Francesco Freni, Anya Fries, Linus Kühne, Markus Reichstein, and Jonas Peters
    arXiv preprint arXiv:2512.10445, 2025
    arXiv
  2. Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data
    Anya Fries, Eunji Choi, and Summer S. Han
    BMC Medical Research Methodology, 2025
    Student Paper Award DOI

2023

  1. Software Application Profile: dynamicLM—a tool for performing dynamic risk prediction using a landmark supermodel for survival data under competing risks
    Anya Fries, Eunji Choi, Julie T. Wu, Justin H. Lee, Victoria Y. Ding, Robert J. Huang, Su-Ying Liang, Heather A. Wakelee, Lynne R. Wilkens, Iona Cheng, and Summer S. Han
    International Journal of Epidemiology, 2023
    DOI