Ambuj Tewari

Rather than performing conformal aggregation in the space of prediction regions, we propose a vector extension of the conformal score, through which aggregation can be performed more efficiently.

We propose a bandit framework for GenAI-powered decisions where actions (queries) affect the environment only through stochastic model outputs, and introduce algorithms tailored to this setup.