Draft papers
E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge, (with Hang Liu), working paper, Sept. 2025. Paper + Supplementary Material + R and Python code sto reproduce the results available at the GitHub link. The working paper is on arXiv as well.
Semiparametric estimation for time series: a frequency domain approach based on optimal transportation theory (with M. Felix), draft paper, 2022.
Slides form some of my talks
Limassol talk: workshop in Statistics and Econometrics, Cyprus (Nov 2021)
CREST (Paris): Statistical analysis of netwrok data (June 2022, seminar series in Financial Econometrics)
COMPSTAT 2023 (London): Robust OT and its applications in Statistics and Machine Learning (Aug 2023)
CREST (Paris): GLAMLE for commodities trading, Seminar series in Financial Econometrics (March 2024)
SMSA 2024 (Tu Delft): Robust OT theory & methods, Workshop on Stochastic Models, Statistics and their Applications (March 2024)
ESSEC (Paris): Saddlepoint techniques for time series (March 2024), Seminar
Erasmus University (Rotterdam, The Nederland): Saddlepoint techniques for time series (June 2024), Seminar
Montessori Seeds of Knowledge (Etoy, Switzerland): Graphs, Probabilités et Stats: Trois mondes à explorer (in French, outreach, Feb 2025)
University of Bern (Bern, Switzerland): GLAMLE: a novel inference procedure for networks, in the presence of latent variables (Feb 2025), Seminar
Torino (Italy): ROBOT in Statistics, Machine Learning and Generative Artificial Intelligence (Aug 2025)