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authorThibaut Horel <thibaut.horel@gmail.com>2015-12-11 18:32:19 -0500
committerThibaut Horel <thibaut.horel@gmail.com>2015-12-11 18:32:19 -0500
commit4206217325019092305f1b17a6e06e331f4d99c4 (patch)
treeb64af77ad3a41e026178d9f3a2ab4f6ec519b703
parent5833bf439b19461600284299a3a1688dc6a1540f (diff)
downloadcascades-4206217325019092305f1b17a6e06e331f4d99c4.tar.gz
Add missing citations and fix bugs
-rw-r--r--finale/final_report.tex14
-rw-r--r--finale/sections/experiments.tex2
-rw-r--r--finale/sections/intro.tex10
-rw-r--r--finale/sparse.bib29
4 files changed, 42 insertions, 13 deletions
diff --git a/finale/final_report.tex b/finale/final_report.tex
index 6f943da..113a637 100644
--- a/finale/final_report.tex
+++ b/finale/final_report.tex
@@ -1,19 +1,12 @@
\documentclass[10pt]{article}
\usepackage[utf8x]{inputenc}
-\usepackage{amsmath, amssymb, amsthm, microtype}
+\usepackage{amsmath, amssymb, amsthm, microtype, graphicx, bbm, times}
\usepackage[pagebackref=false,breaklinks=true,
- colorlinks=true,citecolor=blue]{hyperref}
+ colorlinks=true,citecolor=blue,draft]{hyperref}
\usepackage[capitalize, noabbrev]{cleveref}
-\usepackage{graphicx}
-\usepackage{bbm}
-\usepackage{times}
\usepackage{subfigure}
-\usepackage{natbib}
-\usepackage{algorithm}
-\usepackage{algorithmic}
\input{def}
\usepackage[accepted]{icml2015}
-%\usepackage{algpseudocode}
\DeclareMathOperator*{\argmax}{arg\,max}
\DeclareMathOperator*{\argmin}{arg\,min}
\DeclareMathOperator{\E}{\mathbb{E}}
@@ -42,9 +35,6 @@
\newtheorem*{example}{Example}
\newtheorem*{remark}{Remark}
-\title{}
-\author{Thibaut Horel \and Jean Pouget-Abadie}
-
\begin{document}
\twocolumn[
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
diff --git a/finale/sections/intro.tex b/finale/sections/intro.tex
index 56f31b7..f1f1859 100644
--- a/finale/sections/intro.tex
+++ b/finale/sections/intro.tex
@@ -1,3 +1,12 @@
+Graphs have been extensively studied for their propagative abilities:
+connectivity, routing, gossip algorithms, etc. A diffusion process taking
+place over a graph provides valuable information about the presence and weights
+of its edges. \emph{Cascades} are a specific type of diffusion processes in
+which a particular infectious behavior spreads over the nodes of the graph. By
+only observing the ``infection times'' of the nodes in the graph, one might
+hope to recover the underlying graph and the parameters of the cascade model.
+This problem is known in the literature as the \emph{Network Inference problem}.
+
\begin{itemize}
\item graph inference: what is the proble? what is an observation,
contagion model
@@ -8,4 +17,5 @@
speedup over passive
\end{itemize}
\end{itemize}
+
\input{sections/related.tex}
diff --git a/finale/sparse.bib b/finale/sparse.bib
index be276cb..34e2a84 100644
--- a/finale/sparse.bib
+++ b/finale/sparse.bib
@@ -1,3 +1,32 @@
+@article{pymc,
+ title={PyMC: Bayesian stochastic modelling in Python},
+ author={Patil, Anand and Huard, David and Fonnesbeck, Christopher J},
+ journal={Journal of statistical software},
+ volume={35},
+ number={4},
+ pages={1},
+ year={2010},
+ publisher={Europe PMC Funders}
+}
+
+@article{blocks,
+ author = {Bart van Merri{\"{e}}nboer and
+ Dzmitry Bahdanau and
+ Vincent Dumoulin and
+ Dmitriy Serdyuk and
+ David Warde{-}Farley and
+ Jan Chorowski and
+ Yoshua Bengio},
+ title = {Blocks and Fuel: Frameworks for deep learning},
+ journal = {CoRR},
+ volume = {abs/1506.00619},
+ year = {2015},
+ url = {http://arxiv.org/abs/1506.00619},
+ timestamp = {Wed, 01 Jul 2015 15:10:24 +0200},
+ biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/MerrienboerBDSW15},
+ bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
@article{chaloner,
title={Bayesian experimental design: A review},
author={Chaloner, Kathryn and Verdinelli, Isabella},