Publications

You can find here the articles, reports and presentation supports I have done so far (’-FR’ means the document is in french), or visit my Scholar page.

Journals

  • Flamary, Courty, Gramfort, Alaya, Boisbunon, Chambon, Chapel, Corenflos, Fatras, Fournier, Gautheron, Gayraud, Janati, Rakotomamonjy, Redko, Rolet, Schutz, Seguy, Sutherland, Tavenard, Tong, Vayer. POT: Python Optimal Transport, Journal of Machine Learning Research (2021) 22(78):1−8.
    [PDF] [Code] [Example]

  • Boisbunon, Maruyama. Inadmissibility of the best equivariant predictive density in the unknown variance case, Biometrika (2014) 101 (3): 733-740.
    [PDF]

  • Boisbunon, Canu, Fourdrinier, Strawderman, Wells. Akaike’s Information Criterion, Cp and estimators of loss for elliptically symmetric distributions, International Statistical Review (2014) 82 (3): 422-439.
    [PDF]

Conferences

  • Kamalov, Boisbunon, Fanara, Grenet, Daeden. PaZoe: classifying time series with few labels, European Signal Processing Conference (EUSIPCO), August 23-27 2021.
    [Pre-print]

  • Boisbunon, Fanara, Grenet, Daeden, Vighi, Schoenauer. Zoetrope Genetic Programming for Regression, Genetic and Evolutionary Computation Conference (GECCO), July 10-14 2021.
    [PDF] [Video] [Code] [Results]

  • Avrachenkov, Boisbunon, Kamalov. Graph diffusion & PCA framework for semi-supervised learning, 15th Learning and Intelligent OptimizatioN conference (LION15), June 20-25 2021.
    [PDF]

  • Boisbunon, Flamary, Rakotomamonjy, Giros, Zerubia. Large scale sparse optimization for object detection in high resolution images, IEEE Workshop in Machine Learning for Signal Processing (MLSP), 2014.
    [PDF]

  • Boisbunon, Zerubia. Estimation of the weight parameter with SAEM for marked point processes applied to object detection, European Signal Processing Conference (EUSIPCO), 2014.
    [PDF]

  • Boisbunon, Flamary, Rakotomamonjy. Active set strategy for high-dimensional non-convex sparse optimization problems, International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2014.
    [PDF]

  • Boisbunon, Canu, Fourdrinier. Criteria for variable selection with dependence, Workshop on New Frontiers in Model Order Selection, NeurIPS 2011. [Article] [Poster] [Video]

  • Boisbunon, Canu, Fourdrinier. Critères robustes de sélection de variables pour le modèle linéaire via l’estimation de coût, 18èmes Rencontres de la Société Francophone de Classification, September 2011. [Article-FR] [Presentation-FR]

  • Boisbunon, Canu, Fourdrinier, Strawderman, Wells. Variable selection: a decision theory approach, invited talk, 39th annual meeting of the Statistical Society of Canada, Acadia University, Wolfville, N.-É., Canada, 12-15 june 2011.

Technical reports

  • Boisbunon, Canu, Fourdrinier. A global procedure for variable selection, February 2012.
    [PDF]

  • Boisbunon, Canu, Fourdrinier. A trade-off between Gaussian and worst case analysis for model selection, February 2012.
    [PDF]

  • Boisbunon, Canu, Fourdrinier. Report for the midterm review of ANR project ClasSel, September 2010.

Presentations and other

  • Poster at the 14th CNES Young Researchers’ Days, October 2014.
  • Presentation at INRA Avignon, June 2014.
  • Presentation at GDR ISIS Meeting on Nonconvex Optimization, May 2014.
  • Seminar at the student workgroup on Computer Vision of INRIA, March 2014.
  • Seminar at the workgroup on Statistics of the University of Tokyo, May 2013.
  • Seminar at the workgroup on Statistics of LMRS Lab, Université de Rouen, May 2012.
  • Talk at the ClasSel Workshop, February 2012.
  • Seminar at Cornell University (Department of Statistics), March 2011.
  • Seminar at Heudiasyc (UTC), January 2011.

PhD dissertation

  • Model selection: a decision-theoretic approach, January 2013. [PDF]