1. Elisabeth Gassiat, Ibrahim Kaddouri, Zacharie Naulet. “Model-based Clustering using Non-parametric Hidden Markov Models”. 2023.
  2. Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet. “Frontiers to the learning of nonparametric hidden Markov models”. 2023.
  3. Stefano Favaro, Zacharie Naulet. “Optimal estimation of high-order missing masses, and the rare-type match problem”. 2023.
  4. Cecilia Balocchi, Stefano Favaro, Zacharie Naulet. “Bayesian Nonparametric Inference for ‘Species-sampling’ problems”. 2022.
  5. Yasaman Mahdaviyeh, Zacharie Naulet. “Risk of the least squares minimum norm estimator under the spike covariance model”. 2019.
  6. Victor Veitch, Ekansh Sharma, Zacharie Naulet, Daniel M Roy. “Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization”. 2017.

List of publications

  1. Zacharie Naulet, Judith Rousseau, Fran├žois Caron. “Asymptotic analysis of statistical estimators related to multigraphex processes under misspecification”. To appear in Bernoulli.
  2. Stefano Favaro, Zacharie Naulet. “Near-optimal estimation of the unseen under regularly varying tail populations”. Bernoulli 29 (4) 3423–3442, 2023.
  3. Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet. “Fundamental limits for learning hidden Markov model parameters”. IEEE Transactions on Information Theory. 2022.
  4. Zacharie Naulet. “Adaptive Bayesian density estimation in sup-norm”. Bernoulli 28 (2) 1284–1308, May 2022.
  5. Federico Camerlenghi, Stefano Favaro, Zacharie Naulet, Francesca Panero. “Optimal disclosure risk assessment”. Ann. Statist. 49 (2) 723–744, April 2021.
  6. Zacharie Naulet, Daniel M Roy, Ekansh Sharma, Victor Veitch. “Bootstrap estimators for the tail-index and the count statistics of graphex processes”. Electron. J. Statist. 15 (1) 282–325, 2021.
  7. Zacharie Naulet, Eric Barat. “Some aspects of symmetric Gamma Process mixtures”. Bayesian Anal. 13 (3) 703–720, September 2018.
  8. Zacharie Naulet, Judith Rousseau. “Posterior concentration rates for mixtures of normals in random design regression”. Electron. J. Statist. 11 (2) 4065–4102, 2017.
  9. Zacharie Naulet, Eric Barat. “Bayesian nonparametric estimation for Quantum Homodyne Tomography”. Electron. J. Statist. 11 (2) 3595–3632, 2017.
  10. Zacharie Naulet, Eric Barat. “Signal stochastic decomposition over continuous dictionaries”. 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 2014.