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-rw-r--r--finale/sections/experiments.tex2
1 files changed, 1 insertions, 1 deletions
diff --git a/finale/sections/experiments.tex b/finale/sections/experiments.tex
index 8e5a9eb..74025f2 100644
--- a/finale/sections/experiments.tex
+++ b/finale/sections/experiments.tex
@@ -43,7 +43,7 @@ for the center node, points to its (clock-wise) neighbor. In order for the
baseline to be fair, we choose to create cascades starting from the source node
on the fly both in the case of the uniform source and for the active learning
policy. Each cascade is therefore `observed' only once. We plot the RMSE of the
-graph i.e. $RMSE^2 = \frac{1}{n^2} \|\hat \mathbf{\Theta} -
+graph i.e. $RMSE^2 = \frac{1}{n^2} \|\hat{\mathbf{\Theta}} -
\mathbf{\Theta}\|^2_2$.
graphs/datasets