Abstract Approximate message passing (AMP) algorithms have become an important element of high-dimensional statistical inference, mostly due to their adaptability and concentration properties, the state evolution (SE) equations. This is demonstrated by growing number new iterations proposed for increasingly complex problems, ranging from multi-layer inference low-rank matrix estimation with ela...