24 citations · 34 across the 29 of their papers we have counts for
3 papers · 1 filter
Concave Statistical Utility Maximization Bandits via Influence-Function Gradients
Matías 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…
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…
On semi-supervised learning
Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued
Semi-supervised learning deals with the problem of how, if possible, to take advantage of a huge amount of unclassified data, to perform a classification in situations when, typica…