Quentin Paris
TitleCited byYear
On the prediction loss of the lasso in the partially labeled setting
PC Bellec, AS Dalalyan, E Grappin, Q Paris
Electronic Journal of Statistics 12 (2), 3443-3472, 2018
92018
Cox process functional learning
G Biau, B Cadre, Q Paris
Statistical Inference for Stochastic Processes 18 (3), 257-277, 2015
82015
On Hölder fields clustering
B Cadre, Q Paris
Test 21 (2), 301-316, 2012
82012
On the exponentially weighted aggregate with the Laplace prior
AS Dalalyan, E Grappin, Q Paris
The Annals of Statistics 46 (5), 2452-2478, 2018
72018
Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendible geodesics
A Ahidar-Coutrix, TL Gouic, Q Paris
arXiv preprint arXiv:1806.02740, 2018
62018
Finite sample properties of the mean occupancy counts and probabilities
G Decrouez, M Grabchak, Q Paris
Bernoulli 24 (3), 1910-1941, 2018
42018
Supplement to” Dimension reduction for regression over a general class of function”
Q Paris
22012
Supplement to: Minimax adaptive dimension reduction for regression
Q Paris
12012
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
TL Gouic, Q Paris, P Rigollet, AJ Stromme
arXiv preprint arXiv:1908.00828, 2019
2019
On the occupancy problem for a regime switching model
M Grabchak, M Kelbert, Q Paris
arXiv preprint arXiv:1812.10147, 2018
2018
A notion of stability for k-means clustering
T Le Gouic, Q Paris
Electronic Journal of Statistics 12 (2), 4239-4263, 2018
2018
Minimax adaptive dimension reduction for regression
Q Paris
Journal of Multivariate Analysis 128, 186-202, 2014
2014
Dimension reduction for regression over a general class of functions
Q PARIS
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Articles 1–13