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\documentclass[10pt, twocolumn]{article}
% ── Standalone fallback: compiles with any standard pdflatex install ────────
% For official ICML submission, download icml2024.sty from the ICML website,
% then add \usepackage[accepted]{icml2024} and use the icml-specific macros.
% ─────────────────────────────────────────────────────────────────────────────
\usepackage[T1]{fontenc}
\usepackage[margin=1.8cm, columnsep=0.5cm]{geometry}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{mathtools}
\usepackage{newtxtext,newtxmath}
\usepackage{booktabs}
\usepackage{graphicx}
\usepackage{microtype}
\usepackage{natbib}
\usepackage[hidelinks]{hyperref}
\title{\textbf{Your ICML 2024 Paper Title}}
\author{%
Author One\textsuperscript{1}\thanks{Equal contribution.} \and
Author Two\textsuperscript{2}\\[0.4em]
{\small\textsuperscript{1}University of Example, City, Country \quad
\textsuperscript{2}Research Institute, Country}\\
{\small\texttt{author@university.edu}}%
}
\date{}
\begin{document}
\maketitle
\begin{abstract}
The abstract should be approximately 150--200 words.
ICML 2024 papers are limited to 8 pages of content plus unlimited pages for references.
\end{abstract}
\section{Introduction}
\label{sec:intro}
Your introduction. ICML 2024 uses a two-column, 10\,pt Times format \citep{lecun2015deep}.
\section{Background}
Background and related work.
\section{Method}
\begin{align}
\nabla_{\theta} \mathcal{L} &= \mathbb{E}_{x \sim p(x)}\left[\nabla_{\theta} \log q_{\theta}(x)\right] \nonumber \\
&= \sum_{i=1}^N \nabla_{\theta} \log q_{\theta}(x_i)
\end{align}
\section{Experiments}
Experimental results and comparison to baselines \citep{lecun2015deep}.
\section{Conclusion}
Conclusion and future work.
\begin{thebibliography}{9}
\bibitem[LeCun et al.(2015)]{lecun2015deep}
LeCun, Y., Bengio, Y., \& Hinton, G. (2015).
Deep learning.
\textit{Nature}, 521(7553), 436--444.
\end{thebibliography}
\end{document}
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