2 papers
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…
math.PR2024
Optimal local storage policy based on stochastic intensities and its large scale behavior
Matias Carrasco, Andres Ferragut, Fernando Paganini
In this paper, we analyze the optimal management of local memory systems, using the tools of stationary point processes. We provide a rigorous setting of the problem, building upon…