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\lecturetitle{1}{Lecture 01: PAC Learning}{Scribe 1 name, Scribe 2 name}{09/06/2023}

% Include this notice at the beginning of the notes ==================================
\paragraph{Disclaimer:}
\emph{These notes have not been subjected to the usual scrutiny
reserved for formal publications.
They may be distributed outside this class only with the permission of the
instructor.}
\vspace{0.2in}

% Provide a brief synopsis of what we did in the lecture (see example below) ===========
In the first lecture, we will introduce PAC Learning.
We will introduce empirical risk minimization (ERM) and analyze its convergence properties in the
realizable case.
We will then study agnostic PAC learning,  and conclude with a discussion on approximation error vs. estimation error.


\section{Topic 1}

Separate each topic we covered in class into different sections.

\section{Topic 2}

\section{Topic 3}



\section*{Acknowledgements}

% Please acknowledge last year's scribes. Include the names of all students whose
% materials you have utilized. -------------------------------------------------------
These notes are based on scribed lecture materials prepared in Fall 2023 by
 Ann Teak, Cliff Hanger, and Frank N. Stein.


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