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stat.ML2026
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…
stat.ML2018
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…