Debiasing optimal transport: classical and entropic
This research studies debiasability for cost functions in optimal transport, focusing on entropic regularization across different limits. It establishes sufficient conditions for a ground cost to lift to a debiasable cost on measures. The work introduces an inf-representation characterization of debiability and explores how this applies to classical and entropic optimal transport problems.