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-rw-r--r--poster/Finale_poster/poster.tex12
1 files changed, 8 insertions, 4 deletions
diff --git a/poster/Finale_poster/poster.tex b/poster/Finale_poster/poster.tex
index acdc9bf..cd0ef64 100644
--- a/poster/Finale_poster/poster.tex
+++ b/poster/Finale_poster/poster.tex
@@ -3,6 +3,8 @@
\usepackage[scale=1.8]{beamerposter} % Use the beamerposter package for laying
\usetheme{confposter} % Use the confposter theme supplied with this template
\usepackage{framed, amsmath, amsthm, amssymb}
+\usepackage{graphicx}
+\usepackage{booktabs}
\usepackage{color, bbm}
\setbeamercolor{block title}{fg=dblue,bg=white} % Colors of the block titles
\setbeamercolor{block body}{fg=black,bg=white} % Colors of the body of blocks
@@ -20,10 +22,6 @@
\setlength{\twocolwid}{0.464\paperwidth} % Width of two columns
\setlength{\threecolwid}{0.708\paperwidth} % Width of three columns
\setlength{\topmargin}{-1in} % Reduce the top margin size
-%-----------------------------------------------------------
-
-\usepackage{graphicx}
-\usepackage{booktabs}
\title{Bayesian and Active Learning for Graph Inference} % Poster title
\author{Thibaut Horel\and Jean Pouget-Abadie} % Author(s)
@@ -136,6 +134,12 @@
\begin{itemize}
\item Choose source proportional to mutual information of first step of
cascade and $\Theta$:
+ \item Intuition:
+ \begin{itemize}
+ \item Choose lower bound of mutual information $I(X, Y) \geq I(f(X),
+ g(Y))$
+ \item First step is most informative~\cite{}
+ \end{itemize}
\end{itemize}
\end{block}