Least angle and $\ell_1$ penalized regression: A review

7 February 2008

Tim Hesterberg

Nam-Hee Choi

L. Meier

C. Fraley

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Papers citing "Least angle and $\ell_1$ penalized regression: A review"

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Title
Isometry pursuit Samson Koelle M. Meilă 201 0 0 27 Nov 2024
Semi-adaptive Synergetic Two-way Pseudoinverse Learning System Binghong Liu Ziqi Zhao Shupan Li Ke Wang 178 1 0 27 Jun 2024
Machine learning for industrial sensing and control: A survey and practical perspectiveControl Engineering Practice (Control Eng. Pract.), 2024 Nathan P. Lawrence S. Damarla Jong Woo Kim Aditya Tulsyan Faraz Amjad Kai Wang Benoît Chachuat Jong Min Lee Biao Huang R. Bhushan Gopaluni AI4CE 168 38 0 24 Jan 2024
Robust penalized least squares of depth trimmed residuals regression for high-dimensional data Yijun Zuo 121 1 0 04 Sep 2023
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problemsJournal of Computational Physics (JCP), 2022 Katiana Kontolati Dimitrios Loukrezis D. D. Giovanis Lohit Vandanapu Michael D. Shields 250 53 0 09 Feb 2022
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms Jérome Darbon G. P. Langlois 183 1 0 30 Nov 2021
A Survey Of Regression Algorithms And Connections With Deep Learning Yu-Shan Tai 72 4 0 26 Apr 2021
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 473 45 0 21 Jul 2020
Reframing Threat Detection: Inside esINSIDER M. A. Munson Jason Kichen D. Hillard Ashley Fidler P. Zatko 84 3 0 07 Apr 2019
An Atomistic Machine Learning Package for Surface Science and Catalysis M. H. Hansen J. A. G. Torres P. C. Jennings Ziyun Wang Jacob R. Boes Osman G. Mamun T. Bligaard 235 19 0 01 Apr 2019
Manifold Coordinates with Physical Meaning Samson Koelle Hanyu Zhang M. Meilă Yu-Chia Chen 247 11 0 29 Nov 2018
DYAN: A Dynamical Atoms-Based Network for Video Prediction Wenqian Liu Abhishek Sharma Mario Sznaier Octavia Camps 243 37 0 20 Mar 2018
Regularized Ordinal Regression and the ordinalNet R Package Mike Wurm P. Rathouz B. Hanlon 213 89 0 15 Jun 2017
Understanding the Learned Iterative Soft Thresholding Algorithm with matrix factorization Thomas Moreau Joan Bruna 179 15 0 02 Jun 2017
Arbres CART et Forêts aléatoires, Importance et sélection de variables Robin Genuer Jean-Michel Poggi 272 10 0 26 Oct 2016
Understanding Trainable Sparse Coding via Matrix Factorization Thomas Moreau Joan Bruna 289 46 0 01 Sep 2016
Learning the kernel matrix via predictive low-rank approximations Martin Stravzar Tomaž Curk 193 6 0 17 Jan 2016
Operator-valued Kernels for Learning from Functional Response Data Hachem Kadri E. Duflos Philippe Preux S. Canu A. Rakotomamonjy Julien Audiffren 358 142 0 28 Oct 2015
Spectral likelihood expansions for Bayesian inference J. Nagel Bruno Sudret 191 41 0 24 Jun 2015
Interpretable Classification Models for Recidivism Prediction J. Zeng Berk Ustun Cynthia Rudin FaML 649 254 0 26 Mar 2015
Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS) H. Firouzi Alfred Hero B. Rajaratnam 123 6 0 22 Feb 2015
Methods and Models for Interpretable Linear Classification Berk Ustun Cynthia Rudin 297 45 0 16 May 2014
Supersparse Linear Integer Models for Interpretable Classification Berk Ustun Stefano Tracà Cynthia Rudin 399 44 0 27 Jun 2013
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 451 3,754 0 27 Jul 2009

Least angle and ℓ1\ell_1ℓ1​ penalized regression: A review

Papers citing "Least angle and $\ell_1$ penalized regression: A review"

Least angle and $\ell_1$ penalized regression: A review