Trimming Stability Selection increases variable selection robustness

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Trimming Stability Selection increases variable selection robustness

23 November 2021

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Papers citing "Trimming Stability Selection increases variable selection robustness"

9 / 9 papers shown

Title
On the Adversarial Robustness of LASSO Based Feature Selection Fuwei Li Lifeng Lai Shuguang Cui AAML 57 19 0 20 Oct 2020
Handling cellwise outliers by sparse regression and robust covariance Jakob Raymaekers P. Rousseeuw 20 14 0 28 Dec 2019
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 85 763 0 01 Apr 2018
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,678 0 08 Feb 2016
High-dimensional robust precision matrix estimation: Cellwise corruption under $ε$ -contamination Po-Ling Loh X. Tan 58 31 0 24 Sep 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,107 0 20 Dec 2014
High-dimensional generalized linear models and the lasso Sara van de Geer 629 756 0 04 Apr 2008
Piecewise linear regularized solution paths Saharon Rosset Ji Zhu 533 522 0 16 Aug 2007