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Aggregation of Multiple Knockoffs
v1v2 (latest)

Aggregation of Multiple Knockoffs

International Conference on Machine Learning (ICML), 2020
21 February 2020
Tuan-Binh Nguyen
Jérôme-Alexis Chevalier
Bertrand Thirion
Sylvain Arlot
ArXiv (abs)PDFHTML

Papers citing "Aggregation of Multiple Knockoffs"

6 / 6 papers shown
Using latent representations to link disjoint longitudinal data for mixed-effects regression
Using latent representations to link disjoint longitudinal data for mixed-effects regression
Clemens Schächter
Maren Hackenberg
Michelle Pfaffenlehner
Félix B. Tambe-Ndonfack
Thorsten Schmidt
Astrid Pechmann
Janbernd Kirschner
Jan Hasenauser
Harald Binder
248
0
0
29 Oct 2025
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable SelectionMachine-mediated learning (ML), 2025
Xiaochen Zhang
Yunfeng Cai
Haoyi Xiong
307
1
0
28 Jan 2025
Statistically Valid Variable Importance Assessment through Conditional
  Permutations
Statistically Valid Variable Importance Assessment through Conditional PermutationsNeural Information Processing Systems (NeurIPS), 2023
Ahmad Chamma
Denis A. Engemann
Bertrand Thirion
232
21
0
14 Sep 2023
Extending Model-x Framework to Missing Data
Extending Model-x Framework to Missing Data
D. Koyuncu
Alex Gittens
B. Yener
124
2
0
26 Feb 2022
Semi-supervised multiple testing
Semi-supervised multiple testing
D. Mary
Étienne Roquain
336
20
0
25 Jun 2021
Spatially relaxed inference on high-dimensional linear models
Spatially relaxed inference on high-dimensional linear modelsStatistics and computing (Stat Comput), 2021
Jérôme-Alexis Chevalier
Tuan-Binh Nguyen
Bertrand Thirion
Joseph Salmon
246
1
0
04 Jun 2021
1
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