Emilien Joly

Research fields

• Semiparametric statistics, Resampling
• Robust estimation, Empirical processes, Entropic inequalities
• Gaussian concentration, Gaussian isoperimetrical inequalities, Influences
• U-statistics, k-means, Clustering

Published papers and preprints

In progress

Concentration results for spectral deconvolution of unitarily invariant models
with Tarrago P., preprint, 2021

Estimating the coalescence in phase type models using bootstrap methods
with Miró Pina V. and Siri-Jegousse A., preprint, 2021

Submitted

Concentration of the bootstrap for bounded kernels
with Noiry N., submitted to Annals de l'IHP, 2020
‹pdf› , ‹arxiv›

On the consistency of a random forest algorithm in the presence of missing entries
with Gomez Mendez I., submitted to Annals of Statistics, 2020
‹pdf› , ‹arxiv›

Group testing and PCR : a tale of charge value
with Mallein B., submitted to Bernoulli, 2020
‹pdf› , ‹arxiv›

Practical targeted learning from large data sets by survey sampling
with Chambaz A et Bertail P, submitted, 2019
‹pdf› , ‹hal›

Published articles

On the estimation of the mean of a random vector
with Lugosi G. and Oliveira R., Electronic Journal of Statistics, 2017
‹pdf› , ‹journal›

A Minkowski Theorem for Quasicrystals
with Guiheneuf P-A, Discrete and computational Geometry, 2017
‹pdf› , ‹journal›

Robust estimation of U-statistics
with Lugosi G, Stochastic Processes and their Applications, 2016
‹pdf› , ‹journal›

Empirical risk minimization for heavy-tailed losses
with Brownless C and Lugosi G, Annals of Statistics, 2015
‹pdf› , ‹journal›

Locally Disrupted Synchronization in Langevin Molecular Dynamics
with Georgescu A, Denny SJ, Chen G, Perez D and Voter AF, Physical reviews E, 2012
‹pdf› , ‹journal›

Book chapter(s)

Computationally fast targeted learning using adaptive survey sampling
with Chambaz A and Mary X, chapter 29 in Targeted Learning in Data Science, 2018 ‹pdf› ‹link›

Miscellaneous

• Master 2 - graduation report under the supervision of Olivier Garet