Guillaume Lecué

Orcid: 0000-0002-6391-8746

According to our database1, Guillaume Lecué authored at least 16 papers between 2006 and 2024.

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Bibliography

2024
Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA.
J. Mach. Learn. Res., 2024

2021
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature.
J. Mach. Learn. Res., 2021

2020
Correction to: Robust classification via MOM minimization.
Mach. Learn., 2020

Robust classification via MOM minimization.
Mach. Learn., 2020

2019
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions.
IEEE Trans. Inf. Theory, 2018

MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means.
CoRR, 2018

2017
An IHT Algorithm for Sparse Recovery From Subexponential Measurements.
IEEE Signal Process. Lett., 2017

Regularization and the small-ball method II: complexity dependent error rates.
J. Mach. Learn. Res., 2017

2015
On the gap between RIP-properties and sparse recovery conditions.
CoRR, 2015

2011
Sharp Oracle Inequalities for High-Dimensional Matrix Prediction.
IEEE Trans. Inf. Theory, 2011

Hyper-Sparse Optimal Aggregation.
J. Mach. Learn. Res., 2011

Weighted algorithms for compressed sensing and matrix completion
CoRR, 2011

2007
Suboptimality of Penalized Empirical Risk Minimization in Classification.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006
Lower Bounds and Aggregation in Density Estimation.
J. Mach. Learn. Res., 2006

Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006


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