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ORCIDEugène Ndiaye
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2020 – today
- 2024
[j3]Matthew Lau, Ismaïla Seck, Athanasios P. Meliopoulos, Wenke Lee, Eugène Ndiaye:
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection. Trans. Mach. Learn. Res. 2024 (2024)- [c8]Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugène Ndiaye:
Conformal Prediction via Regression-as-Classification. ICLR 2024 - [c7]Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin:
Careful with that Scalpel: Improving Gradient Surgery with an EMA. ICML 2024 - [i19]Charles Guille-Escuret, Eugène Ndiaye:
Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors. CoRR abs/2401.15254 (2024) - [i18]Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin:
Careful with that Scalpel: Improving Gradient Surgery with an EMA. CoRR abs/2402.02998 (2024) - [i17]Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugène Ndiaye:
Conformal Prediction via Regression-as-Classification. CoRR abs/2404.08168 (2024) - [i16]Charles Guille-Escuret, Eugène Ndiaye:
From Conformal Predictions to Confidence Regions. CoRR abs/2405.18601 (2024) - 2023
- [j2]Eugène Ndiaye
, Ichiro Takeuchi:
Root-finding approaches for computing conformal prediction set. Mach. Learn. 112(1): 151-176 (2023) - [c6]Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo:
Conformalization of Sparse Generalized Linear Models. ICML 2023: 11871-11887 - [i15]Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi:
Learning Costs for Structured Monge Displacements. CoRR abs/2306.11895 (2023) - [i14]Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo:
Conformalization of Sparse Generalized Linear Models. CoRR abs/2307.05109 (2023) - [i13]Matthew Lau, Ismaïla Seck, Athanasios P. Meliopoulos, Wenke Lee, Eugène Ndiaye:
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection. CoRR abs/2312.01541 (2023) - 2022
- [c5]Eugène Ndiaye:
Stable Conformal Prediction Sets. ICML 2022: 16462-16479 - [i12]Diptesh Das, Eugène Ndiaye, Ichiro Takeuchi:
A Confidence Machine for Sparse High-Order Interaction Model. CoRR abs/2205.14317 (2022) - [i11]Chancellor Johnstone, Eugène Ndiaye:
Exact and Approximate Conformal Inference in Multiple Dimensions. CoRR abs/2210.17405 (2022) - 2021
- [i10]Eugène Ndiaye, Ichiro Takeuchi:
Root-finding Approaches for Computing Conformal Prediction Set. CoRR abs/2104.06648 (2021) - [i9]Eugène Ndiaye, Ichiro Takeuchi:
Continuation Path with Linear Convergence Rate. CoRR abs/2112.05104 (2021) - [i8]Eugène Ndiaye:
Stable Conformal Prediction Sets. CoRR abs/2112.10224 (2021) - 2020
- [i7]Eugène Ndiaye, Olivier Fercoq, Joseph Salmon:
Screening Rules and its Complexity for Active Set Identification. CoRR abs/2009.02709 (2020)
2010 – 2019
- 2019
- [c4]Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi:
Safe Grid Search with Optimal Complexity. ICML 2019: 4771-4780 - [c3]Eugène Ndiaye, Ichiro Takeuchi:
Computing Full Conformal Prediction Set with Approximate Homotopy. NeurIPS 2019: 1384-1393 - [i6]Eugène Ndiaye, Ichiro Takeuchi:
Computing Full Conformal Prediction Set with Approximate Homotopy. CoRR abs/1909.09365 (2019) - 2018
- [i5]Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi:
Safe Grid Search with Optimal Complexity. CoRR abs/1810.05471 (2018) - 2017
- [j1]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon:
Gap Safe Screening Rules for Sparsity Enforcing Penalties. J. Mach. Learn. Res. 18: 128:1-128:33 (2017) - 2016
- [c2]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon:
GAP Safe Screening Rules for Sparse-Group Lasso. NIPS 2016: 388-396 - [i4]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon:
GAP Safe Screening Rules for Sparse-Group-Lasso. CoRR abs/1602.06225 (2016) - [i3]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon:
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression. CoRR abs/1606.02702 (2016) - [i2]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon:
Gap Safe screening rules for sparsity enforcing penalties. CoRR abs/1611.05780 (2016) - 2015
- [c1]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon:
GAP Safe screening rules for sparse multi-task and multi-class models. NIPS 2015: 811-819 - [i1]Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon:
GAP Safe screening rules for sparse multi-task and multi-class models. CoRR abs/1506.03736 (2015)
Coauthor Index
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