PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Alexandre Tsybakov

Click here to see user's record.

Number of EPrints submitted by this user: 19

Fast learning rates for plug-in classifiers.
Jean-Yves Audibert and Alexandre Tsybakov
Annals of Statistics Volume 35, Number 2, pp. 608-633, 2007.

Aggregation for Gaussian regression.
Florentina Bunea, Alexandre Tsybakov and Marten Wegkamp
Annals of Statistics Volume 35, Number 4, pp. 1674-1697, 2007.

Aggregation of density estimators and dimension reduction.
Alexander Samarov and Alexandre Tsybakov
Advances in Statistical Modeling and Inference. Essays in Honor of pp. 233-251, 2007. ISSN ISBN 978-981-270-369-9

Aggregation by exponential weighting and sharp oracle inequalities.
Arnak Dalalyan and Alexandre Tsybakov
In: COLT 2007, 13-15 Jun 2007, San Diego, USA.

Sparse density estimation with $\ell_1$ penalties.
Florentina Bunea, Alexandre Tsybakov and Marten Wegkamp
In: COLT 2007, 13-15 Jun 2007, San Diego, USA.

Sparsity oracle inequalities for the Lasso.
Florentina Bunea, Alexandre Tsybakov and Marten Wegkamp
Electronic Journal of Statistics Volume 1, pp. 169-194, 2007.

Linear and convex aggregation of density estimators.
Philippe Rigollet and Alexandre Tsybakov
Mathematical Methods of Statistics Volume 16, Number 3, pp. 260-280, 2007.

Learning by mirror averaging.
Anatoli Juditsky, Philippe Rigollet and Alexandre Tsybakov
Annals of Statistics 2005.

Nonparametric estimation of composite functions.
Anatoli Juditsky, Oleg Lepski and Alexandre Tsybakov
Annals of Statistics 2007.

Simultaneous analysis of Lasso and Dantzig selector.
Peter Bickel, Yaac'ov Ritov and Alexandre Tsybakov
Annals of Statistics 2007.

Gap-free bounds for multi-armed stochastic bandit.
Anatoli Juditsky, Alexander Nazin, Alexandre Tsybakov and Nicolas Vayatis
In: World Congress of IFAC 2008, Jul 2008, Korea.

Spades and mixture models
F. Bunea, A.B. Tsybakov and M.H. Wegkamp
Annals of Statistics 2009.

Sparse regression learning by aggregation and Langevin Monte-Carlo
A. Dalalyan and A.B. Tsybakov
arxiv 2009.

Taking advantage of sparsity in multi-task learning.
K. Lounici, M. Pontil, A.B. Tsybakov and S. van de Geer
In: COLT 2009(2009).

Classification of sparse high-dimensional vectors.
Yu. Ingster, C. Pouet and A.B. Tsybakov
Philosophical Transactions Royal Soc. A Volume 367, pp. 4427-4448, 2009.

Sparse classification boundaries
Yu. Ingster, C. Pouet and A.B. Tsybakov
(2009) arxiv paper.

Noisy Independent Factor Analysis Model for Density Estimation and Classification
U. Amato, A. Antoniadis, A. Samarov and A.B. Tsybakov
(2009) arxiv paper.

Estimation of high-dimensional low rank matrices
A. Rohde and A.B. Tsybakov
(2009) arxiv paper.

SPARSE RECOVERY UNDER MATRIX UNCERTAINTY
M. Rosenbaum and A.B. Tsybakov
(2008) arxiv paper.