Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization

Audrey Repetti, Marcelo Pereyra, Yves Wiaux

We propose a Bayesian uncertainty quantification method for large-scale imaging inverse problems. Our method applies to all Bayesian models that are log-concave, where maximum-a-po…