Interests

Statistics 

Machine learning

Optimal transport

Metric geometry 

G2PS Research Group

We work on problems connected to Geometry, Graph Theory, Probability and Statistics. More info at www.g2ps.org

Publications

Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space​

T. Le Gouic, Q. Paris, P. Rigollet and A.J. Stromme

(Preprint)

Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics

A. Ahidar-Coutrix, T. Le Gouic and Q. Paris

Probability Theory and Related Fields (To appear)

On the occupancy problem for a regime switching model

M. Grabchak, M. Kelbert and Q. Paris

Journal of Applied Probability (To appear) 

A stability property of k-means clustering

T. Le Gouic and Q. Paris.

Electronic Journal of Statistics (2018). Vol. 12, No. 2, pp. 4239-4263.

 

Finite sample properties of the mean occupancy counts and probabilities

G. Decrouez, M. Grabchak and Q. Paris

Bernoulli (2018). Vol. 24, No. 3, pp. 1910-1941. 

On the exponentially weighted aggregate with the Laplace prior 

A. Dalalyan, E. Grappin and Q. Paris

The Annals of Statistics (2018). Vol. 46, No. 5, pp. 2452-2478. 

On the prediction loss of the lasso in the partially labeled setting

P. Bellec, A. Dalalyan, E. Grappin and Q. Paris

Electronic Journal of Statistics (2018). Vol. 12, No.2, pp. 3443–3472.
 

Cox process functional learning

G. Biau, B. Cadre and Q. Paris 

Statistical Inference for Stochastic Processes (2015). Vol. 18, pp. 1-21. 

Minimax adaptive dimension reduction for regression

Q. Paris

Journal of Multivariate Analysis (2014). Vol. 128, pp. 186-202. 

On Holder fields clustering

B. Cadre and Q. Paris 

Test (2012). Vol. 21, pp. 301-316.