Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition. - Guillaume Lecué (COLT, 2006)

Lower Bounds and Aggregation in Density Estimation. - Guillaume Lecué (J. Mach. Learn. Res., 2006)

Suboptimality of Penalized Empirical Risk Minimization in Classification. - Guillaume Lecué (COLT, 2007)

Weighted algorithms for compressed sensing and matrix completion - Stéphane Gaïffas; Guillaume Lecué (CoRR, 2011)

Hyper-Sparse Optimal Aggregation. - Stéphane Gaïffas; Guillaume Lecué (J. Mach. Learn. Res., 2011)

Sharp Oracle Inequalities for High-Dimensional Matrix Prediction. - Stéphane Gaïffas; Guillaume Lecué (IEEE Trans. Inf. Theory, 2011)

On the gap between RIP-properties and sparse recovery conditions. - Sjoerd Dirksen; Guillaume Lecué; Holger Rauhut (CoRR, 2015)

Regularization and the small-ball method II: complexity dependent error rates. - Guillaume Lecué; Shahar Mendelson (J. Mach. Learn. Res., 2017)

An IHT Algorithm for Sparse Recovery From Subexponential Measurements. - Simon Foucart; Guillaume Lecué (IEEE Signal Process. Lett., 2017)

MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means. - Matthieu Lerasle; Zoltán Szabó; Guillaume Lecué; Gaspar Massiot; Eric Moulines (CoRR, 2018)

On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions. - Sjoerd Dirksen; Guillaume Lecué; Holger Rauhut (IEEE Trans. Inf. Theory, 2018)

MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means. - Matthieu Lerasle; Zoltán Szabó; Timothée Mathieu; Guillaume Lecué (ICML, 2019)

Robust classification via MOM minimization. - Guillaume Lecué; Matthieu Lerasle; Timothée Mathieu (Mach. Learn., 2020)

Correction to: Robust classification via MOM minimization. - Guillaume Lecué; Matthieu Lerasle; Timothée Mathieu (Mach. Learn., 2020)

Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature. - Stéphane Chrétien; Mihai Cucuringu; Guillaume Lecué; Lucie Neirac (J. Mach. Learn. Res., 2021)