experiments 2 + section appendix bug fix

2 files changed, 6 insertions, 0 deletions

diff --git a/finale/sections/appendix.tex b/finale/sections/appendix.tex
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/finale/sections/appendix.tex
diff --git a/finale/sections/experiments.tex b/finale/sections/experiments.tex
index 14c83f6..169554f 100644
--- a/finale/sections/experiments.tex
+++ b/finale/sections/experiments.tex
@@ -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