Aldo Pacchiano

Simultaneously evaluate $K$ policies in linear contextual bandits with near-optimal sample complexity by sharing information across evaluations via a unified ridge regression estimator.

Enforcing realized-cost safety can dramatically reduce violations in contextual bandits, outperforming traditional expected-cost methods.