Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Licence: Jamal Atif, Computer Science, approx. 192h, L1, IUT Orsay, Univ. Paris-Sud.

• Licence: Anne Auger, Stochastic Optimization, 20h, L1-3, Ecole Centrale Paris.

• Licence: Philippe Caillou, Computer science for Managers, approx. 192h, L1, IUT Sceaux, Univ. Paris-Sud.

• Licence: Aurélien Decelle, Computer Architecture, 30h, L3, Univ. Paris-Sud

• Licence: Aurélien Decelle, Machine Learning and Artificial Life, 41h, L2, Univ. Paris-Sud

• Licence: Cécile Germain-Renaud, Computer Architecture (head of Licence), approx. 120h, L2-L3, Polytech, Univ. Paris-Sud.

• Licence: Michèle Sebag, Artificial Life, 10h, L2, Univ Paris-Sud.

• Licence: Michèle Sebag, Introduction to Machine Learning, approx. 24h, L3, ENS-Cachan.

• Master : Cécile Germain-Renaud, Parallelisme, approx. 50h, M1, U. Paris-Sud.

• Master : Michèle Sebag, Machine Learning, 25h, M1, MPRI.

• Master : Anne Auger, Optimisation, 12h, M2 Recherche, U. Paris-sud.

• Master : Michèle Sebag, Machine Learning, 24h, M2 Recherche, U. Paris-sud.

• Master : Michèle Sebag, Evolutionary Robotics, 15h, M2 Recherche, U. Paris-sud.

• Master : Philippe Caillou, Multi-Agents Systems, 27h, M2 Recherche, U. Paris-sud.

• Master : Philippe Caillou, Multi-Agent Based Simulation, 3h, M2 Recherche, U. Paris-Dauphine.

• Master : Yann Ollivier, Deep learning, 4h, M2 Recherche, Telecom/Polytech.

Supervision

• PhD: Dawei Feng, Efficient End-to-End Monitoring for Fault Management in Distributed Systems, 27/03/2014, Germain-Renaud [3] .

• PhD: Weijia Wang, Multi-objective sequential decision making, 11/07/2014, Michèle Sebag [5] .

• PhD: Gaetan Marceau Caron, Optimization and Uncertainty Handling in Air Traffic Management, 22/09/2014, Marc Schoenauer [4] .

• PhD: Jérémie Decock, Hybridization of dynamic optimization methodologies, 26/11/2014, Olivier Teytaud [2] .

• PhD: Riad Akrour, Robust Preference-based Reinforcement Learning, 30/09/2014, Marc Schoenauer and Michèle Sebag [1] .

• PhD in progress: Ouasssim Ait Elhara, Stochastic Black-Box Optimization and Benchmarking in Large Dimension, 1/10/2012, Anne Auger and Nikolaus Hansen

• Sandra Cecilia Astete Morales, Random Processes for Optimization with Risk, 1/9/2013, Olivier Teytaud

• PhD in progress: Asma Atamna, Analysis, Improvement and Benchmarking of Constraint Handling for Stochastic Blackbox Continuous Optimization, 1/11/2013, Anne Auger and Nikolaus Hansen

• PhD in progress: Jérémy Bensadon, Information theory for learning and optimization, 1/10/2012, Yann Ollivier

• PhD in progress: Vincent Berthier, Large-scale black-box optimization, 1/10/2013, Olivier Teytaud

• PhD in progress: Marie-Liesse Cauwet, Noisy Optimization for Artificial Intelligence, 1/9/2013, Olivier Teytaud

• PhD in progress: Alexandre Chotard, Enhancement and Analysis of Evolution Strategies, 01.10.2011, Anne Auger and Nikolaus Hansen

• PhD in progress: Nicolas Galichet, Risk-Aware Reinforcement Learning, 1/10/2011, Michl̀e Sebag

• PhD in progress: Yoann Isaac, Une approche non-supervisée pour la passage à l'échelle des interfaces cerveau-machine, 1/10/2011, Jamal Atif and Michèle Sebag

• PhD in progress: Jialin Liu, Portfolios of Noisy Optimization Algorithms, 14/03/2013, Marc Schoenauer and Olivier Teytaud

• PhD in progress: Pierre-Yves Massé, Gradient methods in statistical learning, 1/10/2014, Yann Ollivier

• PhD in progress: Guohua Zhang, Curiosity-Driven Navigation in Evolutionary Robotics, 1/9/2011, Michèle Sebag

• PhD in progress: Nacim Belkhir, Ajustement automatique de paramètres pour les métaheuristiques, 1/05/2014, Marc Schoenauer

• Basile Mayeur, Direct Value Learning, 1/10/2014, Michèle Sebag

• Antoine Bureau, Programming by Feedback, 1/10/2014, Michèle Sebag and Marc Schoenauer

• Thomas Schmitt, A Collaborative Filtering Approach to Matching Job Openings and Job Seekers, 1/11/2014, Michèle Sebag

• Sourava Mishra, AutoML: an empirical approach to Machine Learning, 1/10/2014, Balázs Kégl and Michèle Sebag

• François Gonard, Sélection d'algorithmes pour la conception de structures, 1/11/2014, Marc Schoenauer

Tutorials and Summer Schools

• Anne Auger and Nikolaus Hansen: Evolution Strategies and CMA-ES at the ACM GECCO, July 2014.

• Nikolaus Hansen: Introduction to Information Geometry: Stochastic Optimization at the Information Geometry in Learning and Optimization summer school, September 2014, Copenhagen.

Juries

• Marc Schoenauer, Reviewer for Adrien Goeffon's HDR, Université d'Angers, Oct. 2014 ; Richard Alligier's PhD, Institut National Polytechnique de Toulouse, Oct. 2014 ; Salwa Belaqziz, Université de Marrakech, May 2014. Jury member for Steve Oudot's HDR, Université Paris-Sud, ; Jérémie Garcia's PhD, Université Paris-Sud, June 2014 (pdt of the jury ) ; Mickael Buchet's PhD, Université Paris-Sud, Nov. 2014 (pdt of the jury).

• Michele Sebag, Reviewer for Jonathan Grizou, U. Bordeaux; Gwenael Bothorel, U. Toulouse. Jury member for Bilal Piot, U. Lorraine (pdt of the jury).

• Olivier Teytaud, Reviewer for Manel Tagorti's ph.D. (to be defended early 2015, Loria) and Sothea Hong (Irstea Montpellier).