Yukai Tang, Jean-Bernard Lasserre, and Heng Yang, “Uncertainty Quantification of Set-Membership Estimation in Control and Perception”, Proceedings of Machine Learning Research, vol. 242, 2024, pp. 286–-298.
Sébastien Gadat, and Clément Lalanne, “Privately learning smooth distribution on the hypercube by projections”, Proceedings of Machine Learning Research, vol. 235, “ICML'24: Proceedings of the 41st International Conference on Machine Learning”, 2024, pp. 25936 – 25975.
César Hidalgo, “The policy implications of economic complexity”, Research Policy, vol. 52, n. 9, November 2023.
Yasser Abbas, and Abdelaati Daouia, “Understanding World Economy Dynamics Based on Indicators and Events”, TSE Working Paper, n. 23-1461, August 2023.
Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve, “An expectile computation cookbook”, TSE Working Paper, n. 23-1458, July 2023.
Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve, “Bias-reduced and variance-corrected asymptotic Gaussian inference about extreme expectiles”, TSE Working Paper, n. 23-1444, June 2023, revised November 2023.
Viktor Stojkoski, Philipp Koch, and César Hidalgo, “Multidimensional economic complexity and inclusive green growth”, Communications Earth and Environment, vol. 4, n. 130, April 2023.
Abdelaati Daouia, Simone A. Padoan, and Gilles Stupfler, “Extreme expectile estimation for short-tailed data, with an application to market risk assessment”, TSE Working Paper, n. 23-1414, March 2023, revised May 2024.
Thi-Huong Trinh, Christine Thomas-Agnan, and Michel Simioni, “Discrete and smooth scalar-on-density compositional regression for assessing the impact of climate change on rice yield in Vietnam”, TSE Working Paper, n. 23-1410, February 2023, revised June 2025.


