Publications

2026

  1. Robust Bayes-Assisted Conformal Prediction
    Kianoosh Ashouritaklimi*, Stefano Cortinovis*, and François Caron
    International Conference of Machine Learning, 2026
    arXiv
  2. Inverse-Free Sparse Variational Gaussian Processes
    Stefano Cortinovis, Stefanos Eleftheriadis, Laurence Aitchison, and Mark van der Wilk
    International Conference on Artificial Intelligence and Statistics, 2026
    arXiv
  3. Variational Predictive Resampling
    Laura Battaglia*, Stefano Cortinovis*, Chris Holmes, David T. Frazier, and Jack Jewson
    arXiv preprint arXiv:2605.11168, 2026
    arXiv
  4. Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means
    Valentin Kilian*, Stefano Cortinovis*, and François Caron
    arXiv preprint arXiv:2605.07964, 2026
    arXiv

2025

  1. Anytime-Valid, Bayes-Assisted, Prediction-Powered Inference
    Valentin Kilian*, Stefano Cortinovis*, and François Caron
    Neural Information Processing Systems, 2025
    arXiv
  2. FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
    Stefano Cortinovis and François Caron
    International Conference of Machine Learning, 2025
    arXiv
  3. Confidence Sequences with Informative, Bounded-Influence Priors
    Stefano Cortinovis*, Valentin Kilian*, and François Caron
    arXiv preprint arXiv:2506.22925, 2025
    arXiv

2024

  1. Bayes-Assisted Confidence Regions: Focal Point Estimator and Bounded-Influence Priors
    Stefano Cortinovis and François Caron
    arXiv preprint arXiv:2410.20169, 2024
    arXiv