Papers

  • Anomaly detection in extreme regions via empirical MV-sets on the sphere. A. Thomas, S. Clémençon, A. Gramfort, A. Sabourin. Accepted to AISTATS 2017.
  • Learning hyperparameters for unsupervised anomaly detection. A. Thomas, S. Clémençon, V. Feuillard, A. Gramfort. Anomaly Detection Workshop, ICML 2016. Co-winner of Google best paper award. pdf
  • Calibration of One-Class SVM for MV set estimation. A. Thomas, V. Feuillard and A. Gramfort. In 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015. pdf

Talks

  • Cap 2016. Learning hyperparameters for unsupervised anomaly detection.
  • Anomaly Detection Workshop, ICML 2016. Learning hyperparameters for unsupervised anomaly detection.
  • DSAA 2015. Calibration of One-Class SVM for MV set estimation.