Minimax Testing

Optimal community detection in dense bipartite graphs

Julien Chhor, Parker Knight, 2025.

Locally sharp goodness-of-fit testing in sup norm for high-dimensional counts

Subhodh Kotekal, Julien Chhor, Chao Gao, 2024.

Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
Julien Chhor, Rajarshi Mukherjee, Subhabrata Sen. Bernoulli, 2023.

Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates

Julien Chhor, Alexandra Carpentier, Bernoulli, 2024.

Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate Binomial and Poisson families and in multinomials

Julien Chhor, Alexandra Carpentier. Mathematical Statistics and Learning, 2022.

Robustness and local differential privacy

On the Private Estimation of Smooth Transport Maps

Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor, ICML 2025, to appear.

Robust Estimation of Discrete Distributions under Local Differential Privacy

Julien Chhor and Flore Sentenac. Algorithmic Learning Theory, 2023.

Benign overfitting

Benign overfitting and adaptive nonparametric regression

Julien Chhor, Suzanne Sigalla, Alexandre B. Tsybakov, Probability Theory and Related Fields, 2024.

High-dimensional statistics

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence

Runshi Tang, Julien Chhor, Olga Klopp, Anru R. Zhang, 2025

Generalized multi-view model: Adaptive density estimation under low-rank constraints

Julien Chhor, Olga Klopp, Alexandre B. Tsybakov, 2024.