Publications :


  • S. Gaucher and O. Klopp Maximum Likelihood Estimation of Sparse Networks with Missing Observations

  • To appear:

  • G. Robin, O. Klopp, J. Josse, E. Moulines, and R. Tibshirani Main effects and interactions in mixed and incomplete data frames.
    In Journal of the American Statistical Association (JASA).
  • Published:

  • M. Z. Alaya and O. Klopp Collective Matrix Completion. Journal of Machine Learning Research. 20(148):1 - 43, (2019)
  • O. Klopp, Y. Lu, A. Tsybakov and H. Zhou Structured Matrix Estimation and Completion
    Bernoulli 25 (4B), 2019, 3883 - 3911 (2019).
  • O. Klopp and N. Verzelen Optimal graphon estimation in cut distance.
    Probability Theory and Related Fields, 174(3), pp 1033 - 1090 (2019)
  • A. Carpentier, O. Klopp and M. Löffler Constructing confidence sets for the matrix completion problem
    Nonparametric statistics, pp 103 - 118, Springer Proc. Math. Stat., 250, (2018)
  • G. Robin, H.-T. Wai, J. Josse, O. Klopp and E. Moulines. Low-rank interactions and sparse additive effects model for large data frames.
    32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada.
  • A. Carpentier, O. Klopp, M. Löffler and R. Nickl Adaptive confidence sets for matrix completion.
    Bernoulli Vol. 24, No. 4A, pp 2429 - 2460 (2018)
  • O. Klopp, K. Lounici and A. Tsybakov Robust Matrix Completion.
    Probability Theory and Related Fields Vol. 169, Issue 1 - 2, pp 523 - 564 (2017) BibTeX
  • O. Klopp, A. Tsybakov and N. Verzelen Oracle inequalities for network models and sparse graphon estimation.
    Annals of Statistics Vol. 45, No. 1, pp. 316-354 (2017). BibTeX
  • S. Gaïffas, O. Klopp. High dimensional matrix estimation with unknown variance of the noise.
    Statistica Sinica Vol. 27(1), pp. 115-145 (2017). BibTeX
  • O. Klopp, J. Lafond, E. Moulines, J. Salmon. Adaptive Multinomial Matrix Completion.
    Electronic Journal of Statistics Vol. 9 (2), pp. 2950--2975, (2015). BibTeX
  • O. Klopp and A. Tsybakov Estimation of matrices with row sparsity.
    Problems of Information Transmission Vol. 51, No. 4, pp. 335--348 (2015). BibTeX
  • O. Klopp Matrix completion by singular value thresholding: sharp bounds.
    Electronic Journal of Statistics Vol. 9(2), pp. 2348--2369. (2015). BibTeX
  • O.Klopp, M. Pensky. Sparse high-dimensional varying coefficient model: non-asymptotic minimax study.
    Annals of Statistics 43(3), pp.1273--1299 (2015). BibTeX
  • J. Lafond, O. Klopp, E. Moulines, J. Salmon. Probabilistic low-rank matrix completion on finite alphabets.
    Advances in Neural Information Processing Systems 27 (NIPS), (2014) .
  • O. Klopp. Noisy low-rank matrix completion with general sampling distribution.
    Bernoulli 20(1), pp. 282--303 (2014). BibTeX
  • O. Klopp, M. Pensky. Non-asymptotic approach to varying coefficient model,
    Electronic Journal of Statistics Vol. 7 pp. 454–479 (2013) BibTeX
  • O. Klopp. Rank penalized estimators for high-dimensional matrices,
    Electronic Journal of Statistics Vol. 5 pp. 1161-1183 (2011). BibTeX
  • Del Rio R., Tchebotareva O. Sturm-Liouville operators in the half axis with local perturbations,
    Journal of Mathematical Analysis and Applications 329:557-566 (2007)
  • Tchebotareva O. An example of embedded singular continuous spectrum for one-dimensional Schrödinger operators,
    Letters in Mathematical Physics. 72:225-231 (2005).
  • Del Rio R., Tchebotareva O. Boundary conditions of Sturm - Liouville operators with mixed spectra,
    Journal of Mathematical Analysis and Applications 288:518-529 (2003).