Guillaume Lecué

guillaume.lecue@univ-mlv.fr

Contact

Current situation

I am a CNRS researcher since the 1st of October 2007. I did a Post-doc with Pr. Shahar Mendelson at the Australian National University in Canberra and at the Technion in Haïfa. I did my Phd at the Laboratoire de Probabilités et Modèles Aléatoires of Université Paris 6. My PhD supervisor was Pr. Alexandre Tsybakov.

News

  • Workshop in Marne-la-vallé, every tuesday, 10:45, room 3B82: Analysis, Probability and statistics.
  • Fall school, November 16-20, 2009: Interaction between compressed sensing, random matrices and high dimensional geometry.
  • Worshop, May 17-21 2010: Probability and Geometry in High Dimensions.

    • Publications and preprints

    1. S. Gaïffas and G. Lecué, "Aggregation of penalized empirical risk minimizers in regression." Submitted.
    2. G. Lecué and S. Mendelson, "Sharper lower bounds on the performance of the Empirical Risk Minimization Algorithm." To appear in Bernoulli.
    3. K. Bertin and G. Lecué, "Selection of variables and dimension reduction in high-dimensional non-parametric regression." Electronic Journal of Statistics, Vol. 2, pp. 1224-1241. 2008.
    4. G. Lecué and S. Mendelson, "Aggregation via Empirical Risk Minimization." Probability theory and related fields, Vol. 145, Number 3-4, pp. 591-613. Novembre, 2009
    5. C. Chesneau and G. Lecué, "Adapting to Unknown Smoothness by Aggregation of Thresholded Wavelet Estimators." Statistica Sinica, Vol. 19, Number 4, October 2009, pp. 1407-1418
    6. G. Lecué, "Classification with minimax fast rates for Classes of Bayes Rules with Sparse Representation." Electronic Journal of Statistics, Vol. 2, pp. 741-773. 2008
    7. S. Gaïffas and G. Lecué, "Optimal rates and adaptation in the Single-Index Model using aggregation." Electronic Journal of Statistics, Vol. 1, pp. 538-573. 2007
    8. G. Lecué, "Suboptimality of Penalized Empirical Risk Minimization In Classification."
      20th Annual Conference On Learning Theory, COLT07. Proceedings. Bshouty, Gentile (Eds.). Springer. LNAI 4539, 142-156. Springer.
    9. G. Lecué, "Optimal rates of aggregation in classification under low noise assumption."
      Bernoulli 13(4), 2007, 1000-1022.
    10. G. Lecué, "Simultaneous adaptation to the margin and to complexity in classification."
      Annals of Statistics, Vol. 35, No. 4. pp. 1698-1721. August 2007.
    11. G. Lecué, "Optimal oracle inequality for aggregation of classifiers under low noise condition."
      19th Annual Conference On Learning Theory, COLT06. Proceedings. Gabor Lugosi, Hans Ulrich Simon (Eds.). Springer. LNAI 2006, 364-378. "Mark Fulk award" for the best student paper.
    12. G. Lecué, "Lower Bounds and Aggregation in Density Estimation."
      Journal of Machine Learning Research, 7(Jun):971-981, 2006.

    PhD

      I have defended my PhD on the 18th of May 2007 in front of the following jury:
      My PhD manuscript is available here and the slides of my PhD defense are available here.

    Invitations, presentations

    Marseille(dec.05): Statistical workshop at CIRM. Invited by Laurent Cavalier. Marseille - Luminy. France.
    Atlanta(jan.06): Statistic seminary of Georgia Institute of Technology (Georgia Tech). Invited by Vladimir Koltchinskii. Atlanta. USA.
    Berkeley(feb.06): Statistic seminary of the department of computer science at the university of California Berkeley. Invited by Peter Bartlett. Berkeley. USA.
    Berkeley(fev.06): Statistic seminary of the department of statistics at the university of California Berkeley. Invited by Bin Yu. Berkeley. USA.
    Aussois(march06): Statistical workshop for young probabilists and statisticians.Invited by Marc Hoffmann. Aussois. France.
    ENS Ulm(june06): Statistical workshop at ENS. Invited by Gilles Stoltz. Paris. France. You can watch the talk here (in French)
    Pittsburgh(june06): 19th Annual Conference on Learning Theory, COLT06. Pittsburgh. USA.
    Paris 6 (oct.06): Statistic seminary of the Laboratoire de Probabilité et Modèles Aléatoires. Invited Stéphane Boucheron and Alexandre Tsybakov. Paris. France.
    Marseille(dec.06): Statistical workshop at CIRM. Invited by Laurent Cavalier. Marseille. France.
    Grenoble(Jan.07): Statistic seminary of the Laboratoire Jean Kuntzman. Invited by Anatolie Iouditski. Grenoble. France.
    Marseille(March07): Statistical workshop at CIRM. Invited by Oleg Lepski and Laurent Cavalier. Marseille. France.
    ENS Ulm(March07): Statistical workshop at ENS. Invited by Gilles Stoltz. Paris. France. You can watch the talk here (in French)
    Praz-sur-Arly(June07): SMAI 2007. Invited by Stéphane Boucheron. France.
    San Diego(June07): 20th Annual Conference on Learning Theory, COLT07. San Diego. USA.
    Lisboa(August07): International Statistical Institute, ISI07. Invited by Feng Liang. Lisboa. Portugal.
    Toulouse(February08): Statistics seminary of Laboratoire de Statistique et Probabilités (LSP) Université Paul-Sabatier (Toulouse III) . Invited by Béatrice Laurent. Toulouse. France.
    Valparaiso(March08): Statistics seminary of Departamento de Estadística Universidad de Valparaíso. Invited by Karine Bertin. Valparaiso. Chile.
    Zürich(Oct08): Statistics seminary of Seminar für Statistik of ETH. Invited by Sara van de Geer. Zürich. Swiss.
    Göttingen(Nov08): Workshop "Statistical regularization and qualitative constraints". Invited by Sara van de Geer. Göttingen. Germany.
    ENS Ulm(Dec08): Statistical workshop at ENS. Invited by Gilles Stoltz. Paris. France.
    LPMA(Jan09): Statistical workshop at LPMA. Invited by Alexandre Tsybakov and Stéphane Boucheron. Paris. France.
    Canberra(Sept09): Statistical workshop at MSI. Invited by Alan Welsh. Canberra. Australia.
    LPMA(Oct09): Statistical workshop at LPMA. Invited by Alexandre Tsybakov and Stéphane Boucheron. Paris. France.
    Some of my slides are available here:

    Awards

  • "Mark Fulk award" for the best student paper. 19th Annual Conference On Learning Theory, COLT06.
  • "Prix ROSEMONT/DEMASSIEUX de la chancellerie des universités de Paris"Décembre 2008.