We compare the convergence rates of adaptive algorithms of four kinds: correlation automatic cancellers of interference; quasi-Newton algorithms based on maximum likelihood (ML) estimates of interference correlation matrices and diagonally regularized kinds of these ML estimates; and adaptive lattice filters.