Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds
A non-asymptotic concentration theory is developed for transported empirical means, deriving finite-sample, dimension-free Hoeffding- and Bernstein-type bounds via sharp Hilbert-space inequalities and establishing a robust median-of-means estimator achieving optimal rates under heavy tails and the central limit theorem...