L. Marsigli

collaborators

2 papers

cs.LG2026

Label-Efficient Monitoring of Classification Models via Stratified Importance Sampling

Lupo Marsigli, Angel Lopez de Haro

Monitoring the performance of classification models in production is critical yet challenging due to strict labeling budgets, one-shot batch acquisition of labels and extremely low…

cs.LG2023

$(ε, u)$ -Adaptive Regret Minimization in Heavy-Tailed Bandits

Gianmarco Genalti, Lupo Marsigli, Nicola Gatti +1

Heavy-tailed distributions naturally arise in several settings, from finance to telecommunications. While regret minimization under subgaussian or bounded rewards has been widely s…

Label-Efficient Monitoring of Classification Models via Stratified Importance Sampling

(ε,u)-Adaptive Regret Minimization in Heavy-Tailed Bandits

$(ε, u)$ -Adaptive Regret Minimization in Heavy-Tailed Bandits