1. G. Lecué and S. Mendelson\
    Regularization and the small-ball method I: sparse recovery\
    Submitted, 2016

  2. S. Dirksen, G. Lecué and H. Rauhut.\
    On the gap between RIP-properties and sparse recovery conditions\
    Submitted, 2015.

  3. G. Lecué and S. Mendelson.\
    Performance of empirical risk minimization in linear aggregation\
    To appear in Bernoulli journal, 2014.

  4. G. Lecué and S. Mendelson.\
    Sparse recovery under weak moment assumptions\
    To appear in Journal of the European Mathematical society, 2014

  5. G. Lecué and S. Mendelson.\
    Minimax rates of convergence and the performance of ERM in phase recovery\
    Electronic Journal of Probability. 2015(20).

  6. G. Lecué and S. Mendelson.\
    Learning Subgaussian classes : Upper and minimax bounds\
    Submitted, 2013.

  7. G. Lecué.\
    Comment to ‘Generic chaining and the l1-penalty’ by Sara van de Geer\
    Journal of statistical and planning inference, Volume 143, Issue 6, Pages 1022-1025 (June 2013).

  8. G. Lecué and P. Rigollet. \
    Optimal learning with Q-aggregation\
    Annals of Statistics, Volume 42, Number 1 (February 2014), Pages 211-224.

  9. G. Lecué.\
    Empirical risk minimization is optimal for the convex aggregation problem\
    Bernoulli, Volume 19, Number 5B (November 2013), Pages 2153-2166.

  10. D. Chafaï, O. Guédon, G. Lecué and A. Pajor.\
    Interactions between compressed sensing, Random matrices and high-dimensional geometry\
    Collection “Panoramas et synthèse” of the SMF. Volume 37 (2012), 182 pages.

  11. G. Lecué and S. Mendelson.\
    On the optimality of the empirical risk minimization procedure for the convex aggregation problem\
    Annales de l’institut Henri Poincaré Probabilité et Statistiques, 49 (1), p. 288-306, 2013.

  12. G. Lecué and S. Mendelson.\
    On the optimality of the aggregate with exponential weights for low temperatures\
    Bernoulli Journal, (19) 2, p. 646-675, 2013.

  13. G. Lecué and S. Mendelson.\
    General non-exact oracle inequalities in the unbounded case\
    The annals of Statistics, 40 (2), p. 832-860. 2012. \
    Supplementary material to “General non-exact oracle inequalities in the unbounded case

  14. G. Lecué and C. Mitchell.\
    Oracle inequalities for cross-validation type procedures\
    Electronic journal of statistics, (6), p. 1803-1837. 2012.

  15. S. Gaïffas and G. Lecué.\
    Sharp oracle inequalities for high-dimensional matrix prediction\
    IEEE Transactions on Information Theory, 57 (10), p. 6942-6957, 2011.

  16. S. Gaïffas and G. Lecué.\
    Hyper-sparse optimal aggregation\
    Journal of Machine Learning research, 12(Jun):1813-1833, 2011.

  17. G. Lecué and S. Mendelson.\
    Sharper lower bounds on the performance of the Empirical Risk Minimization Algorithm\
    Bernoulli, 16(3), 2010, p. 605-613, 2010.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. G. Lecué.\
    Optimal rates of aggregation in classification under low noise assumption\
    Bernoulli 13(4), p. 1000-1022, 2007.

  25. G. Lecué.\
    Simultaneous adaptation to the margin and to complexity in classification\
    Annals of Statistics, Vol. 35, No. 4. p. 1698-1721. August 2007.

  26. 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, p. 364-378. “Mark Fulk award” for the best student paper.

  27. G. Lecué.\
    Lower Bounds and Aggregation in Density Estimation\
    Journal of Machine Learning Research, 7(Jun):971-981, 2006.