CAp conference — 28-30th June @ Grenoble

M. Clausel and F. Iutzeler are in the organizing committee of  CAp 2017  — , the annual meeting of the francophone Machine Learning community.

The conference is a place of exchange and sharing of experiences in the field of machine learning with presentations of original research results. In 2017, the 19th edition of CAp will be held in Grenoble. As the image of the city, characterized by an interdisciplinary culture, the field of machine learning is at the interface of several scientific communities such as computer science, applied mathematics, neuroscience and human sciences. This multidisciplinary has played a leading role in the recent development of the area, both in terms of methodology and applications. This year, CAp will also feature a learning challenge over Tweets (see below). The organizing committee is chaired by Massih-Reza Amini (LIG, Univ. Grenoble Alpes).

Plenary Conferences:
Léon Bottou, Facebook
Yves Grandvalet, CNRS and Université de technologie de Compiègne
Yurii Nesterov, Université Catholique de Louvain

Call for papers:
CAp is an interdisciplinary gathering of researchers at the intersection of machine learning, applied mathematics, and related areas. Authors of accepted papers will be invited for oral presentation of their work and for a posters session. This session is an opportunity to have constructing and rigorous feedbacks, as well as to establish contacts with members of the French machine learning community. PhD Students are particularly welcome and encouraged to submit papers. Contributions will be freely distributed on the conference website, subject to approval by the authors. The conference and program chairs of CAp 2017 invite those working in areas related to any aspect of machine learning to submit original papers for review. Solicited topics include, but are not limited to:
– Learning theory, models and paradigm: Learning, Bandit algorithms, Matrix and tensor factorization, Kernel methods, Stochastic processes, Graphical models, Neural networks and deep learning, Game theory
– Optimization and related problems: Large-scale and distributed optimization, Machine learning and structured data (spatio-temporal, tree, graph), Classification with missing values
– Applications: Social network analysis, Bioinformatic, Data mining, Neuroscience, Natural language processing, Information retrieval, Computer vision

Submitted papers can be either in English or in French and we encourage two types of submissions:
– Full research papers on the theme of machine learning theory and its applications should not exceed ten pages in CAp double-column format (including references and figures).
– Short papers can be up to four pages using the same format as Full papers. They present original ideas and provide an opportunity to describe significant work in progress.

This year CAp features a challenge on “Named Entity Recognition in Tweets” which concerns the classification of textual segments of data in a predefined set of categories (13 types). A training dataset of 3,000 tweets will be available to the participants. For more information please visit A prize of 600 Euros will be awarded to the best system.

Important Dates:
14 Avril 2017 : Papers Due
26 Mai 2017 : Notification
28-30 Juin 2017 : CAp 2017 Conference


HdR Defense of Jérôme Malick – Thu., Jan 26th

On Thu., Jan 26th, J. Malick defended its Habilitation to direct researches entitled Variational-analysis look at combinatorial optimization and other selected topics in optimization” at the Maison Jean Kuntzmann, on the Grenoble Campus in front of an international jury composed of:

  • Alexandre d’Aspremont, ENS Ulm
  • Jérome Bolte, Toulouse School of Economics
  • Gérard Cornuéjols, Carnegie Mellon University
  • Jean Lasserre, LAAS-CNRS
  • Nabil Layaida, Inria
  • Yurii Nesterov, Université de Louvain (Belgique)
  • Michael Overton, Courant Institute of Mathematical Sciences, NYU

The jury unanimously enjoyed the clarity of the manuscript and presentation as well as the pertinence of his research in modern optimization.


Journée Machine Learning Optimisation @ Lyon, December 13th 2016

M. Clausel , Laurent Condat (Gipsa-lab), Julie Digne (LIRIS), and Raphaelle Chaine (LIRIS) organize a one-day workshop on Recent advances in Machine Learning and Optimization  at Lyon, December 13th, 2016.
Registration is free but mandatory before Nov. 18th.
Speakers: L. Condat, C. Wolf, C. Bouveyron, R. Emonet.


Funding from Gdr ISIS

The project ON FIRE – Calibration of future large interferometers was awarded a “Jeunes Chercheurs” (young researchers) grant from the GdR ISIS.

It is a collaboration between F. Iutzeler, Mohammed Nabil El Korso (LEME, Paris X), Arnaud Breloy (LEME, Paris X), and Rémi Flamary (Laboratoire Lagrange, Nice).