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@@ -16,6 +16,12 @@ be learned ($2M$ in the product-prior in Eq.~\ref{eq:gaussianprior}). The
maximum-likelihood estimator converges to an $l_\infty$-error of $.05$ for most
graphs after having observed at least $100M$ distinct cascade-steps.
+We therefore used the Blocks~\cite{blocks} framework, written on top of Theano
+for highly efficient SGD routines with minimal memory overhead. By encoding a
+cascade step as a tuple of two binary vectors, one for the infected nodes and
+one for the susceptible nodes, the variational inference objective can be
+written as a sum of two matrix multiplications, which Theano optimizes for
+on GPU.
baseline