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Overall Objectives
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography
Overall Objectives
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography


Section: Dissemination

Teaching - Supervision - Juries

Teaching

  • F. Bach (together with N. Chopin), Graphical models, 30h, Master M2 (MVA), ENS Cachan, France.

  • F. Bach, Optimisation et apprentissage statistique, 20h, Master M2 (Mathématiques de l'aléatoire), Université Paris-Sud, France.

  • Alexandre d'Aspremont, Optimisation Combinatoire et Convexe, avec Zhentao Li, (2015-Present) cours magistraux 30h, Master M1, ENS Paris.

  • Alexandre d'Aspremont, Optimisation convexe: modélisation, algorithmes et applications cours magistraux 21h (2011-Present), Master M2 MVA, ENS PS.

  • F. Bach and P. Gaillard, Apprentissage statistique, 35h, Master M1, Ecole Normale Supérieure, France.

  • P. Gaillard (together with V. Perchet), Prediction of individual sequences, 21h, Master M2 MVA, ENS Cachan, France.

  • Gregoire Mialon, Python for Machine Learning, 21h, M2 MASH, Dauphine-ENS-PSL, Paris.

Supervision

  • Anaël Bonneton, PhD defended on July 2018, co-advised by Francis Bach, located in Agence nationale de la sécurité des systèmes d’information (ANSSI).

  • Damien Scieur, PhD defended on September 2018. Sur l'accélération des méthodes d’optimisation, supervised by Alexandre d'Aspremont and Francis Bach.

  • Jean-Baptiste Alayrac, PhD defended on September 2018, Structured Learning from Videos and Language, supervised by Simon Lacoste-Julien, Josef Sivic and Ivan Laptev.

  • Antoine Recanati, PhD. defended on November 2018. Application du problème de sériation au séquençage de l’ADN et autres relaxations convexes appliquées en bioinformatique, supervised by Alexandre d'Aspremont.

  • Rémi Leblond, PhD defended on November 2018, Asynchronous Optimization for Machine Learning, supervised by Simon Lacoste-Julien.

  • Mathieu Barre, PhD in progress Méthodes d'extrapolation, au-delà de la convexité, supervised by Alexandre d'Aspremont.

  • Grégoire Mialon, PhD in progress Algorithmes d'optimisation, méthodes de régularisation et architectures pour les réseaux de neurones profonds dans un contexte où les données labellisées sont rares, supervised by Alexandre d'Aspremont.

  • Radu-Alexandru Dragomir, PhD in progress Non-Euclidean first-order methods, supervised by Alexandre d'Aspremont and Jérôme Bolte.

  • Thomas Kerdreux, PhD in progress Optimisation and machine learning, supervised by Alexandre d'Aspremont.

  • Margaux Brégère, PhD in progress started September 2017, supervised by Pierre Gaillard, Gilles Stoltz and Yannig Goude (EDF R&D).

  • Raphaël Berthier, PhD in progress started September 2017, supervised by Francis Bach and Pierre Gaillard.

  • Loucas Pillaud-Vivien, PhD in progress, supervised by Francis Bach and Alessandro Rudi.

  • Alex Nowak, PhD in progress, supervised by Francis Bach and Alessandro Rudi.

  • Ulysse Marteau Ferey, PhD in progress, supervised by Francis Bach and Alessandro Rudi.

  • Dmitry Babichev, PhD in progress, started is September 2015, co-advised by Francis Bach and Anatoly Judistky (Univ. Grenoble).

  • Tatiana Shpakova, PhD in progress, started September 2015, advised by Francis Bach.

Juries

  • Alexandre d'Aspremont, Habilitation à diriger des recherches. Thomas Bruls, Genoscope, Université d’Evry.