Publications :

Preprints:

  • C. Donnat, O. Klopp, H. Tyagi Joint learning of a network of linear dynamical systems via total variation penalization.

  • R. Tang, J. Chhor, O. Klopp and A. R. Zhang Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence

  • O. Klopp and F. Noskov Low-Rank Graphon Estimation: Theory and Applications to Graphon Games

    • To appear:

    Published:

  • A. Bordino and O. Klopp Alberto Bordino and Olga Klopp's contribution to the Discussion of "Statistical exploration of the Manifold Hypothesis" by Whiteley et al. Journal of the Royal Statistical Society Series B: Statistical Methodology, (2026)

  • C. Donnat, O. Klopp and N. Verzelen Denoising over networks with applications to partially observed epidemics
    Computational Statistics & Data Analysis, Volume 215, (2026)

  • J. Chhor, O. Klopp and A. Tsybakov Generalized multi-view model: Adaptive density estimation under low-rank constraints
    Journal of Machine Learning Research, 26, 1-52 (2025).

  • F. Enikeeva and O. Klopp. Change-Point Detection in Dynamic Networks with Missing Links
    Operations Research, Vol. 73, No. 5 (2025)

  • F. Enikeeva, O. Klopp and M. Rousselot. Change point detection in low-rank VAR processes.
    Bernoulli 31 (2), 1058-1083, (2025)

  • J. Chen, J. Schmidt-Hieber, C. Donnat and O. Klopp Understanding the Effect of GCN Convolutions in Regression Tasks
    28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)

  • O. Klopp, M. Panov, S. Sigalla and A. Tsybakov Assigning Topics to Documents by Successive Projections
    Annals of Statistics, Vol. 51, No.5, 1989 - 2014, (2023)

  • S. Gaucher and O. Klopp. Optimality of variational inference for stochastic block model with missing links.
    34 Conference on Neural Information Processing Systems (NeurIPS 2021). BibTeX

  • S. Gaucher, O. Klopp and G. Robin. Outliers Detection in Networks with Missing Links.
    Computational Statistics & Data Analysis. Volume 164, (2021). BibTeX

  • S. Gaucher and O. Klopp Maximum Likelihood Estimation of Sparse Networks with Missing Observations
    Journal of Statistical Planning and Inference Volume 215, Pages 299-329 (2021). BibTeX

  • G. Robin, O. Klopp, J. Josse, E. Moulines, and R. Tibshirani Main effects and interactions in mixed and incomplete data frames. Journal of the American Statistical Association (JASA) 115 (531): 1292-1303, (2020). BibTeX

  • M. Z. Alaya and O. Klopp Collective Matrix Completion. Journal of Machine Learning Research. 20(148):1 - 43, (2019) BibTeX

  • O. Klopp, Y. Lu, A. Tsybakov and H. Zhou Structured Matrix Estimation and Completion
    Bernoulli 25 (4B), 2019, 3883 - 3911 (2019). BibTex

  • O. Klopp and N. Verzelen Optimal graphon estimation in cut distance.
    Probability Theory and Related Fields, 174(3), pp 1033 - 1090 (2019) BibTex

  • 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) BibTex

  • 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. BibTeX

  • A. Carpentier, O. Klopp, M. Löffler and R. Nickl Adaptive confidence sets for matrix completion.
    Bernoulli Vol. 24, No. 4A, pp 2429 - 2460 (2018) BibTeX

  • 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).