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)

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)

MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means - Matthieu Lerasle; Zoltán Szabó; Timothée Mathieu; Guillaume Lecué (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

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; Guillaume Lecué; Gaspar Massiot; Eric Moulines (CoRR, 2018)

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)

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

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)

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

Suboptimality of Penalized Empirical Risk Minimization in Classification - Guillaume Lecué (Learning Theory, 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings, 2007)

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

Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition - Guillaume Lecué (Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings, 2006)