deep_statistical_learning/main.tex at main · roomo7time/deep_statistical_learning · GitHub

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\documentclass[oneside, a4paper,11pt]{book}

\usepackage[margin=1in]{geometry}

\usepackage{graphicx}
\usepackage[utf8]{inputenc} % allow utf-8 input
\usepackage[T1]{fontenc}    % use 8-bit T1 fonts
\usepackage{hyperref}       % hyperlinks
\usepackage{url}            % simple URL typesetting
\usepackage{booktabs}       % professional-quality tables
\usepackage{nicefrac}       % compact symbols for 1/2, etc.
\usepackage{microtype}      % microtypography

\usepackage{listings}
\usepackage{xcolor}
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\lstdefinestyle{mystyle}{
    backgroundcolor=\color{backcolour},
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    numbersep=5pt,
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}
\lstset{style=mystyle}


\usepackage[autostyle]{csquotes}
\usepackage{dsfont}

% \usepackage{algorithm,algpseudocode}
\usepackage[ruled,vlined]{algorithm2e}
\usepackage{multicol}

\usepackage{hyperref}
\usepackage{amssymb}

\setlength{\parindent}{0pt}
\setlength{\parskip}{1em}

\newtheorem{theorem}{Theorem}
\newtheorem{lemma}{lemma}
\newtheorem{proof}{proof}
\newtheorem{definition}{Definition}
\newtheorem{proposition}{Proposition}
\newtheorem{corollary}{Corollary}

\newcommand\scalemath[2]{\scalebox{#1}{\mbox{\ensuremath{\displaystyle #2}}}}

\newcommand{\cyan}[1]{\textcolor{cyan}{#1}}

\input{math-com.tex}

\begin{document}

\begin{titlepage}
	\begin{center}
		\vspace*{5.5cm}
		\textbf{\Huge Deep Statistical Learning}\\
        \vspace{2.5cm}
		\includegraphics[width=0.4\textwidth]{./logo/ntunlp_logo.png}\\
        \vspace{1.5cm}
        \Large My Note \\
        \vspace{1.5cm}
		Han Cheol Moon\\
		School of Computer Science and Engineering\\
		Nanyang Technological University\\
		Singapore\\
		\texttt{hancheol001@edu.ntu.edu.sg}

		\date{\today}
	\end{center}
\end{titlepage}

% \frontmatter
% \maketitle
\tableofcontents
\newpage


\mainmatter
\include{./sections/intro}
\include{./sections/bayes/bayes}
\include{./sections/learning}
\part{Kernel Methods}
\input{./sections/kernel/kernel_methods}
\input{./sections/gaussian_process/gp}
\input{./sections/svm/svm}
% \include{./sections/explicit_models/explicit}
\part{Generative Modeling}
\include{./sections/sampling}
\include{./sections/gibbs}
\include{./sections/lda/topic_modeling}
\input{./sections/generative/generative}
% \input{./sections/hmm/hmm}
\input{./sections/diffusion/diffusion_model}
\part{Natural Language Processing}
\input{./sections/nlp/nlp}

\backmatter
% bibliography, glossary and index would go here.

\nocite{*}
\bibliographystyle{unsrt}
\bibliography{references}
\end{document}