Jasin Machkour

According to our database, Jasin Machkour authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking.

Jasin Machkour, Daniel P. Palomar, Michael Muma

CoRR, 2024

False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening.

Taulant Koka, Jasin Machkour, Michael Muma

CoRR, 2024

Sparse PCA with False Discovery Rate Controlled Variable Selection.

Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal

CoRR, 2024

2023

False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks.

Jasin Machkour, Michael Muma, Daniel P. Palomar

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop.

Fabian Scheidt, Jasin Machkour, Michael Muma

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research.

Jasin Machkour, Michael Muma, Daniel P. Palomar

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

False Discovery Rate Control for Grouped Variable Selection in High-Dimensional Linear Models Using the T-Knock Filter.

Jasin Machkour, Michael Muma, Daniel P. Palomar

Proceedings of the 30th European Signal Processing Conference, 2022

2020

A robust adaptive Lasso estimator for the independent contamination model.

Jasin Machkour, Michael Muma, Bastian Alt, Abdelhak M. Zoubir

Signal Process., 2020

2017

The outlier-corrected-data-adaptive Lasso: A new robust estimator for the independent contamination model.

Jasin Machkour, Bastian Alt, Michael Muma, Abdelhak M. Zoubir

Proceedings of the 25th European Signal Processing Conference, 2017