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, to appear in Bernoulli, 2025.
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.
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.