Thesis

• Safe optimization algorithms for variable selection and hyperparameter tuning.
  E. Ndiaye.
  Université Paris-Saclay, October 4th, 2018.
  Manuscript , slides .

Publications

• Safe Grid Search with Optimal Complexity.
  E. Ndiaye, T. Le, O. Fercoq, J. Salmon, I. Takeuchi.
  International Conference on Machine Learning, 2019.
  paper , code .

• Gap Safe screening rules for sparsity enforcing penalties.
  E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon.
  Journal of Machine Learning Research, 2017.
  paper , code .

• 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 .

• 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 .

• 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 .