Guillaume Lecué

1. Robust machine learning by median-of-means: Theory and practice
   2020/04/01 by Guillaume Lecué, Matthieu Lerasle · 1 voice · 6 citations
   Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Statistical Methods and Inference
2. Learning from MOM's principles: Le Cam's approach
   2017/01/08 by Guillaume Lecué, Lerasle Matthieu, Guillaume, Lecué +1 · 4 citations
   Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Advanced Statistical Methods and Models
3. Learning subgaussian classes : Upper and minimax bounds
   2013/05/21 by Guillaume Lecué, Lecué, Guillaume, Shahar Mendelson +1 · 7 citations
   Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms #Statistical Methods and Inference
4. Minimax rate of convergence and the performance of ERM in phase recovery
   2013/11/20 by Guillaume Lecué, Shahar Mendelson, Lecué, Guillaume +1 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced X-ray Imaging Techniques #FOS: Mathematics #Image and Object Detection Techniques #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
5. Robust subgaussian estimation of a mean vector in nearly linear time
   2019/06/07 by Jules Depersin, Guillaume Lecué, Depersin, Jules +1 · 2 citations
   Computer Science · Engineering · Decision Sciences · #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Risk and Portfolio Optimization
6. Optimal robust mean and location estimation via convex programs with respect to any pseudo-norms
   2021/02/01 by Jules Depersin, Depersin, Jules, Guillaume Lecué +1 · 2 citations
   Computer Science · Engineering · Mathematics · #62F35 #FOS: Mathematics #G.3.3 #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
7. Regularization and the small-ball method II: complexity dependent error rates
   2016/08/27 by Guillaume Lecué, Lecué, Guillaume, Shahar Mendelson +1 · 3 citations
   Decision Sciences · Engineering · Mathematics · #FOS: Mathematics #Numerical methods in inverse problems #Probabilistic and Robust Engineering Design #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
8. Sharp oracle inequalities for the prediction of a high-dimensional matrix
   2010/08/28 by Stéphane Gaïffas, Guillaume Lecué, Gaïffas, Stéphane +1 · 1 citation
   Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Mathematics #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
9. Estimation bounds and sharp oracle inequalities of regularized\n procedures with Lipschitz loss functions
   2017/02/05 by Pierre Alquier, Vincent Cottet, Alquier, Pierre +3 · 1 citation
   Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Mathematical Approximation and Integration