Section: Dissemination

Promoting Scientific Activities

Scientific Events Organisation

Member of the Organizing Committees

• C. Dimitrakakis, ICML Workshop on the theory and practice of differential privacy.

• Ph. Preux, “Big Data : Modelisation, Estimation and Selection”, June 2016, Villeneuve d'Ascq.

Scientific Events Selection

Member of the Conference Program Committees

• Conference on Learning Theory (COLT)

• International Joint Conference on Artificial Intelligence (IJCAI)

• European Conference on Machine Learning (ECML)

• ICPRAM

• French conferences:

  • Extraction et Gestion de Conaissances (EGC),

  • Journées Francophones de Planification, Décision, Apprentissage (JFPDA),

  • Apprentissage Automatique et Fouille de Données & Société Française de Classification

Reviewer

• Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)

• Conference on Learning Theory (COLT 2016)

• European Workshop on Reinforcement Learning (EWRL 2016)

• European Conference on Machine Learning (ECML 2016)

• International Conference on Machine Learning (ICML 2016)

• Neural Information Processing Systems (NIPS 2016)

• International Joint Conference on Artificial Intelligence (IJCAI 2016)

• Conference on Autonomous Agents and Multia-Agent Systems (AAMAS 2016)

• International Conference on Artificial Intelligence and Statistics (AISTATS 2016)

• French conferences:

  • Extraction et Gestion de Conaissances (EGC),

  • Journées Francophones de Planification, Décision, Apprentissage (JFPDA),

  • conférence francophone sur l'Apprentissage Automatique (CAp),

  • Apprentissage Automatique et Fouille de Données & Société Française de Classification

  • Conférence Nationale d'Intelligence Artificielle (CNIA)

Journal

Member of the Editorial Boards

• Journal of Games.

• Neurocomputing.

• Revue d'Intelligence Artificielle

Reviewer - Reviewing Activities

• Automatica

• Artificial Intelligence Journal

• Machine Learning Journal

• Journal of Artificial Intelligence Research

• Journal of Machine Learning Research

• AMS Mathematical Review

• IEEE Transaction on Signal Processing

• IEEE Tansaction on Cybernetics

Invited Talks

• R. Gaudel, From Bandits to Recommender Systems, Presented on September 29th, 2016 at ENSAI, Rennes, France

• R. Gaudel, Recommendation as a sequential process, Presented on December 12th, 2016 at CMLA Mathématiques Appliquées, Cachan, France

• E. Kaufmann, The information complexity of best arm identification, Multi-armed Bandit Workshop 2016 at STOR-i, Lancaster University, UK, January 2016.

• E. Kaufmann, The information complexity of sequential resource allocation, seminar of the Collegio Carlo Alberto, Turin, March 2016.

• E. Kaufmann, Optimal Best Arm Identification with Fixed Confidence, Workshop on Computational and Statistical Trade-offs in Learning , Institut des Hautes Etudes Scientifiques (Orsay), March 2016.

• E. Kaufmann, The information complexity of sequential resource allocation, Stalab seminar, University of Cambridge, UK, April 2016.

• E. Kaufmann, Stratégies bayésiennes et fréquentistes dans un modèle de bandit, 1er congrès de la Société Mathématique de France, Tours, June 2016.

• E. Kaufmann, Stratégies bayésiennes et fréquentistes dans un modèle de bandit, Journées MAS, Grenoble, August 2016.

• E. Kaufmann, Revisiting the Exploration-Exploitation Tradeoff in Bandit Models, Workshop on Optimization and Decision-Making in Uncertainty, Simons Institute, Berkeley, September 2016.

• A. Lazaric, Spectral Methods for Learning in POMDPs, University of Liège, Belgium, February 2016.

• A. Lazaric, Spectral Methods for Learning in POMDPs, CMLA Mathématiques Appliquées, Cachan, France, February 2016.

• A. Lazaric, Incremental Kernel Regression with Ridge Leverage Score Sampling, “Data Learning and Inference” (DALI), Sestri Levante, Italy, April 2016.

• A. Lazaric, Optimism and Randomness in Linear Multi-armed Bandit, “International Conference on Monte-Carlo Techniques”, July 2016.

• J. Mary, Structured Bandits, “University of Strasbourg”, May. 2016.

• J. Mary, Tutorial on Deep Neural Networks, “Journées Big Data”, by the Laboratoire Painlevé. Jun. 2016.

• J. Mary, Machine Learning and AI, “EDF Seminar”, Dec. 2016.

• O. Pietquin, Closing the Interaction Loop with (Inverse) Reinforcement Learning, Presented on November 15, 2016 at AWRL, Hamilton, New-Zealand

• O. Pietquin, Challenges of End-to-End Spoken Dialogue Systems, Presented on December 10, 2016 at FILM@NIPS Workshop, Barcelona, Spain

• O. Pietquin, Keeping the Human in the Loop: Challenges for Machine Learning, Presented on March 10, 2016 at Xerox Research Center in Europe, Grenoble, France

• M. Valko, Spectral Methods for Learning in POMDPs, University of Liège, Belgium, February 2016.

• M. Valko, Where is Justin Bieber?, Presented on September 22nd, 2016 at Comenius University in Bratislava, Slovakia (FMFI 2016)

• M. Valko, Bandit learning, Presented on September 15–19th, 2016 at Information technologies - Applications and Theory, at Tatranské Matliare, High Tatras, Slovakia (ITAT 2016)

• M. Valko, Decision-making on graphs without graphs, Presented on June 16-17th, 2016 at Graph-based Learning and Graph Mining workshop, at Inria Lille, France (GBLGM 2016)

• M. Valko, Sequential learning on graphs with limited feedback, Presented on May 11–13th, 2016 at Data Driven Approach to Networks and Language, at ENS Lyon, France (NETSpringLyon 2016)

• M. Valko, Benefits of Graphs in Bandit Settings, Presented on January 11–12th, 2016 at Multi-armed Bandit Workshop 2016 at STOR-i, Lancaster University, UK (STOR-i 2016)

Scientific Expertise

• Agence Nationale pour la Recherche (ANR)

• ANRT

• D2RT Ile de France

• Institut National de Recherche en Agronomie (INRA)

• Fonds National pour la Recherche Scientifique (FNRS), Belgium

• H2020 program

• A. Lazaric was a member of the hiring committee for junior researchers at Inria Lille (2016).

• M. Valko is an elected member of the evaluation committee and participates in the hiring, promotion, and evaluation juries of Inria, notably

  • Hiring committee for junior researchers at Inria Sophia Antipolis (2016)

  • Selection committee for Inria award for scientific excellence, junior and senior (2016)

  • Selection committee for CR promotions (2016)

• Ph. Preux has chaired the hiring committee for an associate professor position at Université de Lille 3

• J. Mary was webpage chair for ICML'2016 in NYC

Research Administration

• Philippe Preux is:

  • Délégué Scientifique Adjoint (DSA) at Inria Lille

  • member of the Evaluation Committee (CE) at Inria

  • member of the Project Committee Board (BCP, Bureau du Comité des Projets) at Inria Lille

  • head of the “Data Intelligence” (DatInG) thematic group at CRIStAL.

  • member of the Scientific Committee of CRIStAL.

• R. Gaudel is member of the board of CRIStAL.

• R. Gaudel is manager of proml mailing list. This mailing list gathers French-speaking researchers from Machine Learning community.

• J. Mary is member of the "Commission Développement Technologique" at Inria Lille.