\vspace{12pt}
%\noindent \textit{A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists}\\
%Andrea Montanari and Subhabrata Sen\\
%ISBN: 978-1-63828-212-9\\
%\\
%\noindent \textit{Reinforcement Learning, Bit by Bit}
%Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband and Zheng Wen\\
%ISBN: 978-1-63828-254-9\\
%\\
%\noindent \textit{Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats}\\
%Nicolas Guigui, Nina Miolane and Xavier Pennec\\
%ISBN: 978-1-63828-154-2\\
%\\
%\noindent \textit{Graph Neural Networks for Natural Language Processing: A Survey}\\
%Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei and Bo Long\\
%ISBN: 978-1-63828-142-9\\
%\\
%\noindent \textit{Model-based Reinforcement Learning: A Survey}\\
%Thomas M. Moerland, Joost Broekens, Aske Plaat and Catholijn M. Jonker\\
%ISBN: 978-1-63828-056-9\\
%\\
%\noindent \textit{Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems}\\
%Ryan J. Tibshirani\\
%ISBN: 978-1-63828-036-1\\

