2 citations · 3 across the 5 of their papers we have counts for
5 papers
2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
Mahdi Nouraie, Houying Zhu, Samuel Muller
We study feature selection in high-dimensional regression under two distinct sources of instability: sampling variability and measurement error in the design matrix. Stability Sele…
A Stable Lasso
Mahdi Nouraie, Houying Zhu, Samuel Muller
The Lasso has been widely used as a method for variable selection, valued for its simplicity and empirical performance. However, Lasso's selection stability deteriorates in the pre…
Stability Selection via Variable Decorrelation
Mahdi Nouraie, Connor Smith, Samuel Muller
The Lasso is a prominent algorithm for variable selection. However, its instability in the presence of correlated variables in the high-dimensional setting is well-documented. Alth…
On the Selection Stability of Stability Selection and Its Applications
Mahdi Nouraie, Samuel Muller
Stability selection is a widely adopted resampling-based framework for high-dimensional variable selection. This paper seeks to broaden the use of an established stability estimato…
Bayesian Stability Selection and Inference on Selection Probabilities
Mahdi Nouraie, Connor Smith, Samuel Muller
Stability selection is a versatile framework for structure estimation and variable selection in high-dimensional setting, primarily grounded in frequentist principles. In this pape…