Guillaume Lecué

发表

Minimax rate of convergence and the performance of empirical risk minimization in phase recovery

S. Mendelson, Guillaume Lecué, 2015 .

Compressed sensing under weak moment assumptions

S. Mendelson, Guillaume Lecué, 2014 .

Robust statistical learning with Lipschitz and convex loss functions

M. Lerasle, Guillaume Lecué, Geoffrey Chinot, 2019, Probability Theory and Related Fields.

Aggregation via empirical risk minimization

S. Mendelson, Guillaume Lecué, 2009 .

Interplay between concentration, complexity and geometry in learning theory with applications to high dimensional data analysis

Guillaume Lecué, 2011 .

Robust classification via MOM minimization

Matthieu Lerasle, Timoth'ee Mathieu, Guillaume Lecu'e, 2018, Machine Learning.

MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means

Eric Moulines, Matthieu Lerasle, Guillaume Lecué, 2018, ICML.

Aggregation procedures: optimality and fast rates

Guillaume Lecué, 2007 .

Optimal rates of aggregation in classification

Guillaume Lecué, 2006 .

Oracle inequalities for cross-validation type procedures

Guillaume Lecué, Guillaume Lecué, Charles Mitchell, 2012 .

Median of means principle as a divide-and-conquer procedure for robustness, sub-sampling and hyper-parameters tuning

Matthieu Lerasle, Guillaume Lecué, Joon Kwon, 2018, 1812.02435.

Aggregation versus Empirical Risk Minimization

S. Mendelson, Guillaume Lecué, 2007 .

A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning

Joon Kwon, M. Lerasle, Guillaume Lecué, 2018, Electronic Journal of Statistics.

Submitted to the Annals of Statistics SLOPE MEETS LASSO : IMPROVED ORACLE BOUNDS AND OPTIMALITY By

A. Tsybakov, Guillaume Lecué, P. Bellec, 2017 .

On the optimality of the empirical risk minimization procedure for the Convex aggregation problem

S. Mendelson, Guillaume Lecué, 2013 .

Robust statistical learning with Lipschitz and convex loss functions

M. Lerasle, Guillaume Lecué, Geoffrey Chinot, 2019, Probability Theory and Related Fields.

DFG-SNF Research Group Opening Conference 'Statistical Regularisation'

Guillaume Lecué, J. Florens, J. M. Corcuera, 2008 .

NON-EXACT ORACLE INEQUALITIES FOR CLASSES WITH A SUBEXPONENTIAL ENVELOPE

S. Mendelson, Guillaume Lecué, 2012 .

Lower Bounds and Aggregation in Density Estimation

Guillaume Lecué, 2006, J. Mach. Learn. Res..

Weighted algorithms for compressed sensing and matrix completion pdf

Stéphane Gaïffas, Guillaume Lecué, Guillaume Lecué, 2011, ArXiv.

On the gap between RIP-properties and sparse recovery conditions pdf

Holger Rauhut, Sjoerd Dirksen, Guillaume Lecué, 2015, ArXiv.

Regularization and the small-ball method II: complexity dependent error rates

Shahar Mendelson, Guillaume Lecué, S. Mendelson, 2016, J. Mach. Learn. Res..

Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition

Guillaume Lecué, Guillaume Lecué, 2006, COLT.

Interactions between compressed sensing, random matrices, and high dimensional geometry

Djalil Chafaï, Guillaume Lecué, Alain Pajor, 2012 .

Sharp Oracle Inequalities for High-Dimensional Matrix Prediction

Stéphane Gaïffas, Guillaume Lecué, Guillaume Lecué, 2011, IEEE Transactions on Information Theory.

Sharp Oracle Inequalities for High-Dimensional

Guillaume Lecué, Stéphane Gaïffas, 2011 .

An IHT Algorithm for Sparse Recovery From Subexponential Measurements

Guillaume Lecué, Simon Foucart, S. Foucart, 2017, IEEE Signal Processing Letters.

Minimax rate of convergence and the performance of empirical risk minimization in phase retrieval *

Shahar Mendelson, Guillaume Lecué, S. Mendelson, 2015 .

On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions

Holger Rauhut, Sjoerd Dirksen, Guillaume Lecué, 2018, IEEE Transactions on Information Theory.

Periodic Patterns Frequency Hopping Waveforms: From Conventional Matched Filtering to an Improved Compressed Sensing Approach

Cyrille Enderli, Guillaume Lecué, Philippe Mesnard, 2018, 2018 19th International Radar Symposium (IRS).

Empirical Risk Minimization Is Optimal for the Convex Aggregation Problem

Guillaume Lecué, 2012 .

Suboptimality of Penalized Empirical Risk Minimization in Classification

Guillaume Lecué, Guillaume Lecué, 2007, COLT.

Hyper-Sparse Optimal Aggregation

Stéphane Gaïffas, Guillaume Lecué, Guillaume Lecué, 2009, J. Mach. Learn. Res..

AGGREGATION OF PENALIZED EMPIRICAL RISK MINIMIZERS IN REGRESSION

Guillaume Lecué, Guillaume Lecu, Stéphane Gäıffas, 2008, 0810.5288.

Sparse recovery under weak moment assumptions

S. Mendelson, Guillaume Lecué, 2014 .