Section: Dissemination

Promoting Scientific Activities

Scientific events organisation

General chair, scientific chair

• F. Bach, program co-chair for International Conference on Machine Learning (ICML), 2015.

Member of the organizing committees

• A. d'Aspremont, workshop organizer, “Optimisation pour l’apprentissage statistique”, École de Physique des Houches, January 2015.

• V. Perchey, local chair for the main conference in learning theory, the “Conference On Learning Theory – COLT'15”, July 2015.

• V. Perchey, workshop organizer, “Challenges in Optimization for Data Science”, July 2015.

• V. Perchey, organizer of the conference “French Symposium on Games - Theory and Applications”, May 2015.

Scientific events selection

Area chairs

• S. Lacoste-Julien, International Conference on Machine Learning (ICML), 2015.

Journal

Member of the editorial boards

• A. d'Aspremont, SIAM Journal on Optimization, Associate Editor.

• F. Bach, Journal of Machine Learning Research, Action Editor.

• F. Bach, Information and Inference, Associate Editor.

• F. Bach, SIAM Journal on Imaging Sciences, Associate Editor.

Others

• A. d’Aspremont is on the scientific committee for Programme Gaspard Monge pour l’Optimisation, Fondation mathématique Jacques Hadamard.

• S. Lacoste-Julien received a NIPS 2015 Outstanding Reviewer Award.

Invited talks

• S. Arlot, “V-fold selection of kernel estimators", EMS 2015: European Meeting of Statisticians, session `Recent advances in resampling methods' (Amsterdam, July 6, 2015).

• S. Arlot, “Cross-validation for estimator selection", Workshop “Information Based Complexity and Model Selection" (IHP, Paris, April 9, 2015).

• S. Arlot, “Comparaison de procédures de validation croisée (V-fold)", Conférence "Calibration statistique" (Université de Nice - Sophia Antipolis, February 20, 2015).

• S. Arlot, “Cross-validation for estimator selection", SMPGD 2015: Statistical Methods for Post Genomic Data (Ludwig-Maximilians University, February 13, 2015).

• S. Arlot, “Sélection d'estimateurs par validation croisée", Colloquium du MAP5 (Université Paris Descartes, November 13, 2015).

• S. Arlot, “Analyse du biais de forêts purement aléatoires", Séminaire de Probabilités et Statistiques (Lieu, Laboratoire JA Dieudonné, Université de Nice - Sophia Antipolis, January 8, 2015).

• A. d'Aspremont, “Ranking from Pairwise Comparisons using Seriation”:

  • Séminaire du Collège de France, June 2015.

  • International Symposium on Mathematical Programming, July 2015.

  • STATLEARN 2015.

  • Fields Institute workshop on big data, Toronto, Feb. 2015.

• A. d'Aspremont, “Seriation, DNA Sequencing and Nanopores”, Datalead 2015.

• A. d'Aspremont, “Optimisation et apprentissage”, Conférence SCOR - Institut des actuaires, December 2015.

• F. Bach, Invited presentation at Workshop on Data-driven Algorithmics, Harvard, September 2015.

• F. Bach, Invited tutorial at Allerton Conference, Urbana-Champaign, 2015.

• F. Bach, Invited seminar at Ecole Polytechnique Federale de Lausanne, October 2015.

• D. Garreau, “Kernel change-point detection", 45th Ecole d'été de Saint-Flour (Saint-Flour, July 7-17, 2015).

• S. Lacoste-Julien, “Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering", invited talk at the Bayes in Paris Seminar at ENSAE, Paris, France, March 2015.

• S. Lacoste-Julien, “SAGA: a fast incremental gradient method", invited talk in the Nonsmooth Optimization cluster at ISMP 2015 (22nd International Symposium on Mathematical Programming), Pittsburgh, PA, USA, July 2015.

• S. Lacoste-Julien, “Frank-Wolfe Optimization for Structured Machine Learning”:

  • McGill University, Montreal, Canada, December 2015.

  • Université de Montréal, Montreal, Canada, December 2015.