3 papers
math.OC2026
Variational Analysis in the Wasserstein Space
Nicolas Lanzetti, Antonio Terpin, Florian Dörfler
We study optimization problems whereby the optimization variable is a probability measure. Since the space of probability measures is not a vector space, many classical methods for…
econ.GN2026
Dynamic Resource Allocation with Karma: An Experimental Study
Ezzat Elokda, Saverio Bolognani, Florian Dörfler +1
We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in th…
stat.ML2025
Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
Liviu Aolaritei, Soroosh Shafiee, Florian Dörfler
Distributionally robust optimization (DRO) has become a powerful framework for estimation under uncertainty, offering strong out-of-sample performance and principled regularization…