Section: Dissemination

Invited presentations

• S. Arlot, "Optimal model selection with V-fold cross-validation: how should V be chosen?", World Congress in Probability and Statistics 2012, Istanbul.

• S. Arlot, "Resampling-based estimation of the accuracy of satellite ephemerides", Inaugural Conference of the Laboratory Fibonacci, Scuola Normale Superiore di Pisa, 2012.

• S. Arlot, "Choix de V pour la sélection de modèles par validation croisée V-fold en estimation de densité", Séminaire parisien de statistique, IHP, Paris, 2012.

• S. Arlot, "Calibration automatique d'estimateurs linéaires à l'aide de pénalités minimales, application à la régression multi-tâches.", Séminaire de Statistique de l'IMT, Toulouse, 2012.

• F. Bach, International Conference on Pattern Recognition Applications and Methods, Faro, Portugal, 2012 (keynote speaker).

• F. Bach, Rank Prize Symposium (invited talk), Lake District, England, 2012.

• F. Bach, University of Cambridge (two seminars), 2012.

• F. Bach, Schlumberger workshop on Mathematical Models of Sound Analysis, IHES (invited talk), 2012.

• F. Bach, Joint Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM) (invited talk), Graz, Austria, 2012.

• F. Bach, International Workshop on Machine Learning for Signal Processing (plenary lecture), Santander, Spain, 2012.

• F. Bach, Seminar Max-Planck Institute, Tübingen, October 2012.

• E. Grave, Laboratoire d'Informatique de Paris 6, Université Pierre et Marie Curie (Seminar), 2012.

• S. Lacoste-Julien, "Harnessing the structure of data for discriminative machine learning", Colloque du Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada, February 2012

• S. Lacoste-Julien, "Structured Alignment Methods in Machine Learning", SMT seminar at the LIMSI, Orsay, France, July 2012

• S. Lacoste-Julien, "Frank-Wolfe optimization insights in machine learning", machine learning seminar, University of Toronto, Toronto, Canada, August 2012.

• S. Lacoste-Julien, "Frank-Wolfe optimization insights in machine learning", Machine Learning Group seminar, University of Cambridge, Cambridge, UK, August 2012.

• S. Lacoste-Julien, "Harnessing the structure of data in machine learning", invited talk, Department of Engineering Science, University of Oxford, Oxford, UK, September 2012.

• S. Lacoste-Julien, "Frank-Wolfe optimization insights in machine learning", invited talk, Stanford AI Lab, Stanford University, Stanford, USA, December 2012.

• G. Obozinski, Swiss Statistical Seminar, Bern, Switzerland, April 2012.

• G. Obozinski, Séminaire de Statistiques, Université de Pennsylvanie, Philadelphia, PA, USA, May 2012.

• G. Obozinski, Séminaire de Statistiques, Université Paris 11, May 2012.

• G. Obozinski, Journées de Statistiques (Conférence annuelle de la Société Francaise de Statistiques), Université Libre de Bruxelles, Belgium, May 2012.

• G. Obozinski, Congrèss mondial de Probabilités et Statistiques, Istanbul, Turkey, July 2012.

• G. Obozinski, séminaire du CEREMADE, Université Paris-Dauphine, December 2012.

• M. Schmidt, NAIS Workshop on Advances in Large-Scale Optimization, Edinburgh, May 24-25, 2012.

• M. Schmidt, International Symposium on Mathematical Programming, Berlin, August 19-24, 2012.

• M. Schmidt, University of British Columbia, "Linearly-Convergent Stochastic-Gradient Methods", Seminar, December 10, 2012.

• M. Schmidt, - Simon Fraser University, "Opening up the black box: Faster methods for non-smooth and big-data optimization", Seminar, December 11, 2012.