Thesis
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Safe optimization algorithms for variable selection and hyperparameter tuning.
E. Ndiaye.
Université Paris-Saclay, October 4th, 2018.
Manuscript ,
slides .
Publications
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Safe Grid Search with Optimal Complexity.
E. Ndiaye, T. Le, O. Fercoq, J. Salmon, I. Takeuchi.
International Conference on Machine Learning, 2019.
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code .
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Gap Safe screening rules for sparsity enforcing penalties.
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon.
Journal of Machine Learning Research, 2017.
paper ,
code .
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Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression.
E. Ndiaye, O. Fercoq, V. Leclère, A. Gramfort, J. Salmon.
Journal of Physics: Conference Series, 2017.
paper ,
code .
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GAP Safe Screening Rules for Sparse-Group-Lasso.
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon.
Advances in Neural Information Processing Systems, 2016.
paper ,
code .
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GAP Safe screening rules for sparse multi-task and multi-class models.
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon.
Advances in Neural Information Processing Systems, 2015.
paper .