Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Licence : Philippe Caillou, Computer Science for students in Accounting and Management, 192h, L1, IUT Sceaux, Univ. Paris Sud

• Licence : Aurélien Decelle, Computer Architecture, 50h, L3, Univ. Paris-Sud

• Licence : Aurélien Decelle, Machine Learning and Artificial Life, 27h, L2, Univ. Paris-Sud

• Licence : Aurélien Decelle, Databases, 30h, L2, Univ. Paris-Sud

• Master : Aurélien Decelle, Machine Learning, 6h, M2 Recherche, Univ. Paris-Sud

• Master : Anne Auger, Optimisation, 12h, 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 : Guillaume Charpiat (et Gaétan Marceau), Machine Learning, 18h, M2 Recherche, Centrale-Supelec.

• Master : Odalric-Ambrym Maillard, Machine Learning, 6h, M2 Recherche, Univ. Paris-Sud

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

• Master : Michèle Sebag, Machine Learning, 12h; Deep Learning, 6h; Reinforcement Learning, 6h; M2 Recherche, U. Paris-sud.

Supervision

• PhD: Yoann ISAAC, Représentations redondantes pour les signaux d’électroencéphalographie, 29/05/2015, Jamal Atif and Michèl̀e Sebag.

• Alexandre Chotard, Markov Chain Analysis of Evolution Strategies, Université Paris-Sud, 24/09/2015, Anne Auger and Nikolaus Hansen

• PhD: Nicolas Galichet, Contributions to Multi-Armed Bandits: Risk-Awareness and Sub-Sampling for Linear Contextual Bandits, Université Paris-Sud, 28/09/2015, Michèle Sebag.

• PhD: Guohua Zhang, Exploratory Robotic Controllers: An Evolution and Information Theory Driven Approach, Université Paris-Sud, 24/09/2015, Michèle Sebag and Jingzhong Zhang.

• PhD: Jialin Liu, Portfolio methods in uncertain contexts, Université Paris-Sud, 11/12/2015, Olivier Teytaud and Marc Schoenauer.

• PhD in progress: Ouassim AIT ELHARA, Large-scale optimization and Evolution Strategies, 1/09/2012, Anne Auger and Nikolaus Hansen.

• PhD in progress: Sandra ASTETE-MORALES, Noisy optimization, with applications to power systems, 1/09/2013, Olivier Teytaud.

• PhD in progress: Asma ATAMNA, Evolution Strategies and Constrained Optimization, 1/10/2013, Anne Auger and Nikolaus Hansen.

• PhD in progress: Jérémy BENSADON, Applications of Information Theory to Statistical Learning, Yann Ollivier, defense planned for 02/02/2016.

• PhD in progress: Nacim BELKHIR, On-line parameter tuning, 1/5/2014, Marc Schoenauer and Johann Dréo (Thalès), CIFRE Thalès.

• PhD in progress: Vincent BERTHIER, Large scale parallel optimization, with application to power systems, 1/09/2013, Michèle Sebag et Olivier Teytaud.

• PhD in progress: Marie-Liesse CAUWET, Artificial intelligence with uncertainties, application to power systems, 1/09/2013, Olivier Teytaud.

• PhD in progress: François GONARD, Automatic optimization algorithm selection and configuration, 1/10/2014, Marc Schoenauer and Michèle Sebag, thèse IRT SystemX.

• PhD in progress: Pierre-Yves MASSÉ, Gradient Methods for Statistical Learning, 1/10/2014, Yann Ollivier

• PhD in progress: Sourava MISHRA, AutoML: An empirical approach to Machine Learning, 1/10/2014, Balazs Kégl and Michèle Sebag

• PhD in progress: Thomas SCHMITT, A Collaborative Filtering Approach to Matching Job Openings and Job Seekers, 1/11/2014, Michèle Sebag.

• PhD in progress : Emmanuel Maggiori, Large-Scale Remote Sensing Image Classification, 1/1/2015, Guillaume Charpiat (with Yuliya Tarabalka and Pierre Alliez, Inria Sophia-Antipolis)

• PhD in progress: Mehdi Cherti Learning to discover: supervised discrimination and unsupervised representation learning with applications in particle physics. 01/10/2014, Balazs Kegl and Cécile Germain.

• PhD in progress: Karima Rafes Gestion et sécurité des données personnelles dans le web des objets. 01/10/2014, Serge Abiteboul and Cécile Germain.

Juries

All senior TAO members participated to many PhD or HDR committees.