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| -rw-r--r-- | paper/sections/appendix.tex | 2 | ||||
| -rw-r--r-- | paper/sections/experiments.tex | 3 |
2 files changed, 4 insertions, 1 deletions
diff --git a/paper/sections/appendix.tex b/paper/sections/appendix.tex index 4c6aed7..8e82e0c 100644 --- a/paper/sections/appendix.tex +++ b/paper/sections/appendix.tex @@ -35,7 +35,7 @@ Choosing $\lambda\defeq 2\sqrt{\frac{\log m}{\alpha n^{1-\delta}}}$ concludes the proof. \end{proof} -\subsubsection{Approximate sparsity proof} +%\subsubsection{Approximate sparsity proof} \subsubsection{RE with high probability} \begin{proof}Writing $H\defeq \nabla^2\mathcal{L}(\theta^*)$, if diff --git a/paper/sections/experiments.tex b/paper/sections/experiments.tex index 3566e20..cacc882 100644 --- a/paper/sections/experiments.tex +++ b/paper/sections/experiments.tex @@ -66,6 +66,9 @@ interval $[0.2, 0.7]$, except when testing for approximately sparse graphs (see paragraph on robustness). Adjusting for the variance of our experiments, all data points are reported with at most a $\pm 1$ error margin. The parameter $\lambda$ is chosen to be of the order ${\cal O}(\sqrt{\log m / (\alpha n)})$. +We report our results as a function of the number of \emph{cascades} and not the +number of \emph{measurements}: in practice, very few cascades have depth +greater than 3. \paragraph{Benchmarks} |
