  In this paper, we present a theoretical study of a low-rank matrix single
index model. This model is recently introduced in biostatistics however its
theoretical properties on estimating together the link function and the
coefficient matrix are not yet carried out. Here, we advance on using
PAC-Bayesian bounds technique to provide a rigorous theoretical understanding
for jointly estimation of the link function and the coefficient matrix.
