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stat.ML2026
Concave Statistical Utility Maximization Bandits via Influence-Function Gradients
MatÃas Carrasco, Alejandro Cholaquidis
We study stochastic multi-armed bandits in which the objective is a statistical functional of the long-run reward distribution, rather than expected reward alone. Under mild contin…
stat.ML2025
Conformal inference for regression on Riemannian Manifolds
Alejandro Cholaquidis, Fabrice Gamboa, Leonardo Moreno
Regression on manifolds, and, more broadly, statistics on manifolds, has garnered significant importance in recent years due to the vast number of applications for non Euclidean da…