publications

An up-to-date list is available on Google Scholar.

preprints

  1. arXiv
    Boosted Control Functions: Distribution generalization and invariance in confounded models
    Nicola Gnecco, Jonas Peters, Sebastian Engelke, and Niklas Pfister
    2024
    PDF Code

          peer-reviewed

          2024

          1. NeurIPS
            Achievable distributional robustness when the robust risk is only partially identified
            Julia Kostin, Nicola Gnecco, and Fanny Yang
            Neural Information Processing Systems (NeurIPS), 2024
            PDF
          2. JASA
            Extremal Random Forests
            Edossa Merga Terefe Nicola Gnecco, and Sebastian Engelke
            Journal of the American Statistical Association, Theory and Methods, 2024
            PDF Code

          2022

          1. TPAMI
            A Causal Framework for Distribution Generalization
            Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco, and Jonas Peters
            IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
            PDF Code

          2021

          1. Ann. Stat.
            Causal discovery in heavy-tailed models
            Nicola Gnecco, Nicolai Meinshausen, Jonas Peters, and Sebastian Engelke
            The Annals of Statistics, 2021
            PDF Code

          theses

              1. PhD thesis
                Causal inference for extremes
                Nicola Gnecco
                University of Geneva, 2022
                PDF
                1. Master’s thesis
                  Causality in Heavy-​Tailed Data
                  Nicola Gnecco
                  ETH Zurich, 2018
                  PDF