publilisting.tex

\begin{listpublis}
%
\small{
\subsection*{Journal}
\begin{itemize}
\item Sparse Representation of Multivariate Extremes with Applications to Anomaly Detection. (Under review for Journal of Multivariate Analysis).\\
Authors: Goix, Sabourin, and Clémençon.
\end{itemize}

\subsection*{Conferences}
\begin{itemize}
\item On Anomaly Ranking and Excess-Mass Curves. (AISTATS 2015).\\
Authors: Goix, Sabourin, and Clémençon. 

\item Learning the dependence structure of rare events: a non-asymptotic study. (COLT 2015).\\
Authors: Goix, Sabourin, and Clémençon.

\item Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking. (AISTATS 2016).\\
Authors: Goix, Sabourin, and Clémençon.

\item How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms? (to be submitted).\\ Authors: Goix and Thomas. 

\item One-Class Splitting Criteria for Random Forests with Application to Anomaly Detection. (to be submitted).\\
Authors: Goix, Brault, Drougard and Chiapino.
\end{itemize}


\subsection*{Workshops}
\begin{itemize}
\item Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking. (NIPS 2015 Workshop on Nonparametric Methods for Large Scale Representation Learning).\\
Authors: Goix, Sabourin, and Clémençon.

\item How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms? (ICML 2016, Workshop on Anomaly Detection). Co-winner of the Best Paper Award, sponsored by Google.\\
Author: Goix. 
\end{itemize}

\subsection*{Scikit-Learn implementations}
\begin{itemize}
\item Isolation Forest: https://github.com/scikit-learn/scikit-learn/pull/4163\\
Authors: Goix and Gramfort
\item Local Outlier Factor: https://github.com/scikit-learn/scikit-learn/pull/5279\\
Authors: Goix and Gramfort
\end{itemize}
}
  
\end{listpublis}