Concepedia

Eugène Ndiaye

EN

Statistics

Publications

5

Citations

80

H-Index

5

Active since

2015

Affiliations

Université Paris-Saclay(Current)

Télécom Paris

Laboratoire Traitement et Communication de l’Information

Eugène Ndiaye is an author at Université Paris-Saclay specializing in machine learning, computer science, and data science.

Top concepts

EngineeringData ScienceComputer ScienceMachine LearningPattern RecognitionDeep LearningStatistical InferenceDimensionality ReductionStatisticsFeature Selection

Publications per year

2015–2017

5

Publications

5

GAP Safe Screening Rules for Sparse-Group-Lasso

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort et al. · arXiv (Cornell University) · 2016 · 21 citations · Full text

Graph Sparsity, Sparse Representation, Sparse-group Lasso +12

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort et al. · Journal of Physics Conference Series · 2017 · 19 citations · Full text

GAP Safe screening rules for sparse multi-task and multi-class models

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort et al. · arXiv (Cornell University) · 2015 · 16 citations · Full text

Sparse Representation, Engineering, Machine Learning +15

GAP Safe Screening Rules for Sparse-Group-Lasso

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort et al. · arXiv (Cornell University) · 2016 · 13 citations · Full text

Graph Sparsity, Sparse Representation, Sparse-group Lasso +13

Gap Safe screening rules for sparsity enforcing penalties

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort et al. · arXiv (Cornell University) · 2016 · 11 citations · Full text

Engineering, Inspection, Machine Learning +23

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