publications

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

preprints

    1. arXiv
      Extremes of structural causal models
      Sebastian Engelke, Nicola Gnecco, and Frank Röttger
      2025
      PDF Code

              peer-reviewed

              2026

              1. JMLR
                Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models
                Nicola Gnecco, Jonas Peters, Sebastian Engelke, and Niklas Pfister
                Journal of Machine Learning Research, 2026
                PDF Code

              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