| Bootstrap estimators for the tail-index and for the count statistics of graphex processes Z Naulet, DM Roy, E Sharma, V Veitch Electronic Journal of Statistics, 2017 | 13* | 2017 |
| Some aspects of symmetric Gamma process mixtures Z Naulet, E Barat | 12 | 2018 |
| Fundamental limits for learning hidden Markov model parameters K Abraham, E Gassiat, Z Naulet IEEE Transactions on Information Theory 69 (3), 1777-1794, 2022 | 10 | 2022 |
| Near-optimal estimation of the unseen under regularly varying tail populations S Favaro, Z Naulet Bernoulli 29 (4), 3423-3442, 2023 | 8 | 2023 |
| Adaptive Bayesian density estimation in sup-norm Z Naulet Bernoulli 28 (2), 1284-1308, 2022 | 8 | 2022 |
| Bayesian Nonparametric Inference for" Species-sampling" Problems C Balocchi, S Favaro, Z Naulet arXiv preprint arXiv:2203.06076, 2022 | 7 | 2022 |
| Risk of the least squares minimum norm estimator under the spike covariance model Y Mahdaviyeh, Z Naulet arXiv preprint arXiv:1912.13421, 2019 | 7 | 2019 |
| Frontiers to the learning of nonparametric hidden Markov models K Abraham, E Gassiat, Z Naulet arXiv preprint arXiv:2306.16293, 2023 | 4 | 2023 |
| Posterior concentration rates for mixtures of normals in random design regression Z Naulet, J Rousseau | 4 | 2017 |
| Optimal disclosure risk assessment F Camerlenghi, S Favaro, Z Naulet, F Panero | 3 | 2021 |
| Bayesian nonparametric estimation for quantum homodyne tomography Z Naulet, E Barat | 2 | 2017 |
| Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification Z Naulet, J Rousseau, F Caron Bernoulli 30 (4), 2644-2675, 2024 | 1 | 2024 |
| Bayes in action in deep learning and dictionary learning J Arbel, HP Dang, C Elvira, C Herzet, Z Naulet, M Vladimirova ESAIM: Proceedings and Surveys 74, 90-107, 2023 | 1 | 2023 |
| Model-based clustering using non-parametric hidden Markov models E Gassiat, I Kaddouri, Z Naulet arXiv preprint arXiv:2309.12238, 2023 | 1 | 2023 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization V Veitch, E Sharma, Z Naulet, DM Roy arXiv preprint arXiv:1712.02311, 2017 | 1 | 2017 |
| On the impossibility of detecting a late change-point in the preferential attachment random graph model I Kaddouri, Z Naulet, É Gassiat arXiv preprint arXiv:2407.18685, 2024 | | 2024 |
| Optimal estimation of high-order missing masses, and the rare-type match problem S Favaro, Z Naulet arXiv preprint arXiv:2306.14998, 2023 | | 2023 |
| Development of a particle-based model for nonparametric inverse regression Z Naulet Université Paris sciences et lettres, 2016 | | 2016 |
| Signal stochastic decomposition over continuous dictionaries Z Naulet, É Barat 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | | 2014 |
| Publications scientifiques de l'IETR UMR CNRS 6164 J Arbel, HP Dang, C Elvira, C Herzet, Z Naulet | | |
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
