Eugène Ndiaye

According to our database, Eugène Ndiaye authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection.

Matthew Lau, Ismaïla Seck, Athanasios P. Meliopoulos, Wenke Lee, Eugène Ndiaye

Trans. Mach. Learn. Res., 2024

Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models.

Michael Kirchhof, James Thornton, Pierre Ablin, Louis Béthune, Eugène Ndiaye, Marco Cuturi

CoRR, 2024

From Conformal Predictions to Confidence Regions.

Charles Guille-Escuret, Eugène Ndiaye

CoRR, 2024

Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors.

Charles Guille-Escuret, Eugène Ndiaye

CoRR, 2024

Careful with that Scalpel: Improving Gradient Surgery with an EMA.

Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Conformal Prediction via Regression-as-Classification.

Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugène Ndiaye

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Root-finding approaches for computing conformal prediction set.

Eugène Ndiaye, Ichiro Takeuchi

Mach. Learn., January, 2023

Learning Costs for Structured Monge Displacements.

Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi

CoRR, 2023

Conformalization of Sparse Generalized Linear Models.

Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo

Proceedings of the International Conference on Machine Learning, 2023

2022

Exact and Approximate Conformal Inference in Multiple Dimensions.

Chancellor Johnstone, Eugène Ndiaye

CoRR, 2022

A Confidence Machine for Sparse High-Order Interaction Model.

Diptesh Das, Eugène Ndiaye, Ichiro Takeuchi

CoRR, 2022

Stable Conformal Prediction Sets.

Eugène Ndiaye

Proceedings of the International Conference on Machine Learning, 2022

2021

Continuation Path with Linear Convergence Rate.

Eugène Ndiaye, Ichiro Takeuchi

CoRR, 2021

2020

Screening Rules and its Complexity for Active Set Identification.

Eugène Ndiaye, Olivier Fercoq, Joseph Salmon

CoRR, 2020

2019

Computing Full Conformal Prediction Set with Approximate Homotopy.

Eugène Ndiaye, Ichiro Takeuchi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Safe Grid Search with Optimal Complexity.

Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Gap Safe Screening Rules for Sparsity Enforcing Penalties.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

J. Mach. Learn. Res., 2017

2016

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon

CoRR, 2016

GAP Safe Screening Rules for Sparse-Group Lasso.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

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

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015