Julien Chhor

collaborators

5 papers

econ.EM2026

Asymptotic Properties of Empirical Quantile-Based Estimators

Julien Chhor, Xavier D'HaultfÅuille, JÃ©rÃ©my L'Hour +1

We consider inference for parameters of the form $I^¸_{0} = E [F_{Y}^{- 1} \circ F_{Z} (X)]$ for some variables $X$ , $Y$ and $Z$ . Such parameters appear, in particular, in the ``changes-in-ch…

stat.ME2026

Optimal Estimation of Discrete Multiview Distributions under Heteroskedastic Multinomial Sampling

Runshi Tang, Julien Chhor, Olga Klopp +2

Multiview latent-variable models provide a fundamental framework for discrete data analysis, with applications to latent structure models, topic models, and mixtures of product dis…

math.ST2026

Minimax optimal submatrix detection: Sharp non-asymptotic rates

Parker Knight, Julien Chhor

Given an observation $Y \in R^{d_{1} \times d_{2}}$ from the model $Y = X + E$ where $X$ is constant and $E$ has i.i.d. $N (0, 1)$ …

stat.ME2025

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence

Runshi Tang, Julien Chhor, Olga Klopp +1

Canonical Polyadic (CP) tensor decomposition is a fundamental technique for analyzing high-dimensional tensor data. While the Alternating Least Squares (ALS) algorithm is widely us…

math.ST2025

Optimal community detection in dense bipartite graphs

Julien Chhor, Parker Knight

We consider the problem of detecting a community of densely connected vertices in a high-dimensional bipartite graph of size $n_{1} \times n_{2}$ . Under the null hypothesis, the observ…