GAP Safe screening rules for sparse multi-task and multi-class models. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (NIPS, 2015)

GAP Safe Screening Rules for Sparse-Group Lasso. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (NIPS, 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 Sparsity Enforcing Penalties. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (J. Mach. Learn. Res., 2017)

Safe Grid Search with Optimal Complexity. - Eugène Ndiaye; Tam Le; Olivier Fercoq; Joseph Salmon; Ichiro Takeuchi (ICML, 2019)

Computing Full Conformal Prediction Set with Approximate Homotopy. - Eugène Ndiaye; Ichiro Takeuchi (NeurIPS, 2019)

Screening Rules and its Complexity for Active Set Identification. - Eugène Ndiaye; Olivier Fercoq; Joseph Salmon (CoRR, 2020)

Continuation Path with Linear Convergence Rate. - Eugène Ndiaye; Ichiro Takeuchi (CoRR, 2021)

Stable Conformal Prediction Sets. - Eugène Ndiaye (ICML, 2022)

A Confidence Machine for Sparse High-Order Interaction Model. - Diptesh Das; Eugène Ndiaye; Ichiro Takeuchi (CoRR, 2022)

Exact and Approximate Conformal Inference in Multiple Dimensions. - Chancellor Johnstone; Eugène Ndiaye (CoRR, 2022)

Conformalization of Sparse Generalized Linear Models. - Etash Kumar Guha; Eugène Ndiaye; Xiaoming Huo (ICML, 2023)

Learning Costs for Structured Monge Displacements. - Michal Klein; Aram-Alexandre Pooladian; Pierre Ablin; Eugène Ndiaye; Jonathan Niles-Weed; Marco Cuturi (CoRR, 2023)

Root-finding approaches for computing conformal prediction set. - Eugène Ndiaye; Ichiro Takeuchi (Mach. Learn., 2023)

Conformal Prediction via Regression-as-Classification. - Etash Kumar Guha; Shlok Natarajan; Thomas Möllenhoff; Mohammad Emtiyaz Khan; Eugène Ndiaye (ICLR, 2024)

Careful with that Scalpel: Improving Gradient Surgery with an EMA. - Yu-Guan Hsieh; James Thornton; Eugène Ndiaye; Michal Klein; Marco Cuturi; Pierre Ablin (ICML, 2024)

Learning Elastic Costs to Shape Monge Displacements. - Michal Klein; Aram-Alexandre Pooladian; Pierre Ablin; Eugène Ndiaye; Jonathan Niles-Weed; Marco Cuturi (NeurIPS, 2024)

Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors. - Charles Guille-Escuret; Eugène Ndiaye (CoRR, 2024)

From Conformal Predictions to Confidence Regions. - Charles Guille-Escuret; Eugène Ndiaye (CoRR, 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)

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)

Exact and Approximate Conformal Inference for Multi-Output Regression. - Chancellor Johnstone; Eugène Ndiaye (COPA, 2025)

Multivariate Conformal Prediction using Optimal Transport. - Michal Klein; Louis Béthune; Eugène Ndiaye; Marco Cuturi (CoRR, 2025)

The Geometries of Truth Are Orthogonal Across Tasks. - Waïss Azizian; Michael Kirchhof; Eugène Ndiaye; Louis Béthune; Michal Klein; Pierre Ablin; Marco Cuturi (CoRR, 2025)