diff options
| -rw-r--r-- | poster/Finale_poster/poster.tex | 12 | ||||
| -rw-r--r-- | simulation/vi_blocks.py | 2 |
2 files changed, 9 insertions, 5 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} diff --git a/simulation/vi_blocks.py b/simulation/vi_blocks.py index 0e671e4..5a81486 100644 --- a/simulation/vi_blocks.py +++ b/simulation/vi_blocks.py @@ -55,7 +55,7 @@ if __name__ == "__main__": freq = 10 graph = utils.create_wheel(1000) g_shared = theano.shared(value=graph, name='graph') - n_samples = 50 + n_samples = 10 # graph = utils.create_random_graph(n_nodes=10) print('GRAPH:\n', graph, '\n-------------\n') |