Section: Dissemination

Promoting Scientific Activities

Scientific Events Organisation

General Chair, Scientific Chair

• F. Bach: General Chair of ICML 2018 (Stockholm)

Member of the Organizing Committees

• Adrian Taylor, Session Organizer: Computer-assisted analyses of optimization algorithms I & II, International Symposium on Mathematical Programming, July 2018.

• F. Bach: Co-organization of the workshop “Horizon Maths 2018 : Intelligence Artificielle”, November 23, 2018

Scientific Events Selection

Chair of Conference Program Committees

• F. Bach: Program Chair of the Journées de Statistiques (Saclay)

Reviewer

• Conference on Learning Theory (COLT 2018): Pierre Gaillard, Alessandro Rudi

• Symposium on Discrete Algorithms (SODA 2019): Adrien Taylor,

• Neural Information Processing Systems (NIPS 2018): Pierre Gaillard, Alessandro Rudi

• Conference on Learning Theory (COLT 2018): Pierre Gaillard, Alessandro Rudi, Adrien Taylor

• Symposium on Discrete Algorithms (SODA 2019): Adrien Taylor

• International Conference of Machine Learning (ICML 2018): Pierre Gaillard, Alessandro Rudi

Journal

Member of the Editorial Boards

• F. Bach: Journal of Machine Learning Research, co-editor-in-chief

• F. Bach: Information and Inference, Associate Editor.

• F. Bach: Electronic Journal of Statistics, Associate Editor.

• F. Bach: Mathematical Programming, Associate Editor.

• F. Bach: Foundations of Computational Mathematics, Associate Editor.

• A. d’Aspremont: SIAM Journal on Optimization, Associate editor

• A. d’Aspremont: SIAM Journal on the Mathematics of Data Science, Associate Editor

• A. d’Aspremont: Mathematical Programming, Associate Editor

Reviewer - Reviewing Activities

• SIAM Journal on Optimization: Adrien Taylor

• Mathematical Programming: Adrien Taylor

• Journal of Optimization Theory and Algorithms: Adrien Taylor

• Journal of Machine Learning Research: Pierre Gaillard, Alessandro Rudi

• Applied Computational Harmonic Analysis: Alessandro Rudi

Invited Talks

• F. Bach, Trends in Optimization Seminar, University of Washington, November 2018.

• Pierre Gaillard. Distributed averaging of observations in a graph: the gossip problem. MNL Conference, Paris, November 2018.

• Adrien Taylor, Analysis and design of first-order methods via semidefinite programming, Seminaire Parisien dOptimisation (SPO), Paris (France), November 2018.

• F. Bach, Frontier Research and Artificial Intelligence, European Research Council, Brussels, October 2018.

• F. Bach, IDSS Distinguished Speaker Seminar, MIT, October 2018.

• F. Bach, Mathematical Institute Colloquium, Oxford, October 2018.

• Adrien Taylor, Convex Interpolation and Performance Estimation of First- order Methods for Convex Optimization, IBM/FNRS innovation award, Brussels (Belgium), October 2018.

• F. Bach, Workshop on Structural Inference in High-Dimensional Models, Moscow, September 2018.

• F. Bach, Symposium on Mathematical Programming (ISMP), Bordeaux, plenary talk, July 2018.

• Alexandre d'Aspremont, Sharpness, Restart and Compressed Sensing Performance, ISMP 2018, Bordeaux, July 2018.

• Alessandro Rudi, FALKON: An optimal method for large scale learning with statistical guarantees, ISMP 2018, Bordeaux, July 2018.

• Adrien Taylor, Computer-assisted Lyapunov-based worst-case analyses of first- order methods, International Symposium on Mathematical Programming, Bordeaux (France), July 2018.

• F. Bach, SIAM Conference on Imaging Science, Bologna, Italy, invited talk, June 2018.

• Pierre Gaillard. Online prediction of arbitrary time-series with application to electricity consumption. Conference on nonstationarity. Cergy Pontoise University. June 2018.

• Adrien Taylor, Convex Interpolation and Performance Estimation of First-order Methods for Convex Optimization, International Symposium on Mathematical Programming: Tucker prize finalist, Bordeaux (France), July 2018.

• Alexandre d'Aspremont, An approximate Shapley-Folkman Theorem, Isaac Newton Institute, Cambridge, June 2018.

• F. Bach,Workshop on Future challenges in statistical scalability, Newton Institute, Cambridge, UK, June 2018.

• Adrien Taylor, Automated design of first-order optimization methods, Operation Research Seminar, UCLouvain, Louvain-la-Neuve (Belgium), May 2018.

• Adrien Taylor, Automated design of first-order optimization methods, LCCC Control Seminar, Lund University, Lund (Sweden), May 2018.

• Pierre Gaillard. Distributed learning with orthogonal polynomials. Inria DGA meetup. May 2018.

• F. Bach, Workshop on Optimisation and Machine Learning in Economics, London, March 2018.

• Pierre Gaillard. An overview of Artificial Intelligence. Hackaton. PSL University. March 2018.

• Alexandre d'Aspremont, Regularized Nonlinear Acceleration, US and Mexico Workshop on Optimization and its Applications, Jan 2018.

• Alessandro Rudi, Learning with Random Features, Isaac Newton Institute, Cambridge, Jan 2018.

• Pierre Gaillard. Online nonparametric regression with adversarial data. Smile seminar. Paris. Jan 2018.