From 67775fdacf375e91b96d0fcab36c8a8bdaec8a8f Mon Sep 17 00:00:00 2001 From: jeanpouget-abadie Date: Mon, 18 May 2015 19:35:05 +0200 Subject: added to experiment section --- paper/sections/appendix.tex | 2 +- paper/sections/experiments.tex | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) (limited to 'paper/sections') 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} -- cgit v1.2.3-70-g09d2