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
The exponentially weighted average forecaster in geodesic spaces of non-positive curvature
Q.Paris
(Preprint)
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
T. Le Gouic, Q. Paris, P. Rigollet and A.J. Stromme
(Preprint)
A. Ahidar-Coutrix, T. Le Gouic and Q. Paris
Probability Theory and Related Fields (2020). Vol. 177, No. 1, pp. 323-368.
On the occupancy problem for a regime switching model
M. Grabchak, M. Kelbert and Q. Paris
Journal of Applied Probability (2020). Vol. 57, No. 1, pp. 53-77.
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.
B. Cadre and Q. Paris
Test (2012). Vol. 21, pp. 301-316.