@inproceedings{GeoffreyGeneralized2L, title={Generalized 2 Linear 2 Models}, author={J. Geoffrey} }

We introduce the Generalized 2 Linear 2 Model, a statistical estima-tor which combines features of nonlinear regression and factor analysis. A (GL)2M approximately decomposes a rectangular matrix X into a simpler representation j(g(A)h(B)). Here A and Bare low-rank matrices, while j, g, and h are link functions. (GL)2Ms include many useful models as special cases, including principal components analysis, exponential-family peA, the infomax formulation of independent components analysis, linear… CONTINUE READING