Clément Levrard

发表

Fast rates for empirical vector quantization

Clément Levrard, 2012, 1201.6052.

Squared Euclidean , Mahalanobis , Kullback-Leibler and L 2 distances are particular cases of Bregman divergences

Clément Levrard, C. Brécheteau, A. Fisher, 2019 .

Quantification vectorielle en grande dimension : vitesses de convergence et sélection de variables

Clément Levrard, 2014 .

Sparse Oracle Inequalities for Variable Selection via Regularized Quantization

Clément Levrard, 2014, 1406.3334.

Optimal quantization of the mean measure and application to clustering of measures

F. Chazal, Clément Levrard, Martin Royer, 2020, 2002.01216.

Topologically penalized regression on manifolds

G. Blanchard, W. Polonik, K. Balasubramanian, 2021, J. Mach. Learn. Res..

Variable selection for k means quantization

Clément Levrard, 2014 .

A $k$-points-based distance for robust geometric inference

Clément Levrard, C. Brécheteau, 2020 .

Margin conditions for vector quantization

Clément Levrard, 2013, 1310.7138.

Stability and Minimax Optimality of Tangential Delaunay Complexes for Manifold Reconstruction

Clément Levrard, Eddie Aamari, 2018, Discrete & Computational Geometry.

Oracle inequalities for computationally budgeted model selection

Peter L. Bartlett, John C. Duchi, Alekh Agarwal, 2011, COLT.

Robust Bregman clustering

Cl'ement Levrard, Claire Br'echeteau, Aur'elie Fischer, 2018, The Annals of Statistics.

Clustering of measures via mean measure quantization

Frédéric Chazal, Martin Royer, Clément Levrard, 2021 .

Optimal quantization of the mean measure and applications to statistical learning

F. Chazal, Clément Levrard, Martin Royer, 2020 .

The k-PDTM : a coreset for robust geometric inference pdf

Claire Brécheteau, Clément Levrard, Clément Levrard, 2018, ArXiv.

Non Asymptotic Bounds for Vector Quantization

Clément Levrard, Clément Levrard, 2013 .

Stability and Minimax Optimality of Tangential Delaunay Complexes for Manifold Reconstruction

Clément Levrard, Eddie Aamari, Clément Levrard, 2015, Discret. Comput. Geom..

ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning

Yuichi Ike, Yuhei Umeda, Martin Royer, 2020, AISTATS.

Nonasymptotic rates for manifold, tangent space and curvature estimation

Cl'ement Levrard, Eddie Aamari, Clément Levrard, 2017, The Annals of Statistics.

High-dimensional vector quantization : convergence rates and variable selection

Clément Levrard, Clément Levrard, 2014 .

Nonasymptotic bounds for vector quantization in Hilbert spaces

Cl'ement Levrard, Clément Levrard, 2014, 1405.6672.

Quantization/clustering: when and why does k-means work?

Cl'ement Levrard, Clément Levrard, 2018, 1801.03742.

Minimax boundary estimation and estimation with boundary

C. Aaron, Clément Levrard, Eddie Aamari, 2021, Bernoulli.

Optimal reach estimation and metric learning

Clément Levrard, Cl'ement Berenfeld, Eddie Aamari, 2022, The Annals of Statistics.