Learning performance in inverse Ising problems with sparse teacher couplings
Learning performance in inverse Ising problems with sparse teacher couplings
Abstract We investigate the learning performance of the pseudolikelihood maximization method for inverse Ising problems. In the teacher–student scenario under the assumption that the teacher’s couplings are sparse and the student does not know the graphical structure, the learning curve and order parameters are assessed in the typical case using …