This tensor scoring method avoids the parameter explosion and overfitting problem by assuming a low-rank factorization of the parameters A.
a is decomposed into the sum of r rank-1 components: where r is the rank of the tensor, U, V ∈ R r×n and W ∈ R r×l are parameter matrices.