Santiago Mazuelas

Minimax Classification with 0-1 Loss and Performance Guarantees

2020 · arXiv (Cornell University)

Supervised classification techniques use training samples to find classification rules with small expected 0-1 loss. Conventional methods achieve efficient learning and out-of-sample generalization by minimizing surrogate losses over specific families of rules. This paper presents …

Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees

2022 · arXiv (Cornell University)

The statistical characteristics of instance-label pairs often change with time in practical scenarios of supervised classification. Conventional learning techniques adapt to such concept drift accounting for a scalar rate of change by means of a …