The Lasso Problem and Uniqueness

1 June 2012

Papers citing "The Lasso Problem and Uniqueness"

50 / 158 papers shown

Title
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Quentin Bertrand Quentin Klopfenstein Mathurin Massias Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 53 26 0 04 May 2021
pcoxtime: Penalized Cox Proportional Hazard Model for Time-dependent Covariates Steve Cygu J. Dushoff B. Bolker 14 5 0 03 Feb 2021
Support estimation in high-dimensional heteroscedastic mean regression P. Hermann H. Holzmann 31 0 0 03 Nov 2020
Adversarial Robustness of Supervised Sparse Coding Jeremias Sulam Ramchandran Muthumukar R. Arora AAML 34 23 0 22 Oct 2020
Out-of-sample error estimate for robust M-estimators with convex penalty Pierre C. Bellec 29 17 0 26 Aug 2020
The leave-one-covariate-out conditional randomization test Eugene Katsevich Aaditya Ramdas CML 17 2 0 15 Jun 2020
Lasso formulation of the shortest path problem Anqi Dong Amirhossein Taghvaei T. Georgiou 12 0 0 19 May 2020
Parametric Programming Approach for More Powerful and General Lasso Selective Inference Vo Nguyen Le Duy Ichiro Takeuchi 11 3 0 21 Apr 2020
The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation U. Schneider P. Tardivel 30 20 0 20 Apr 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand Quentin Klopfenstein Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 30 64 0 20 Feb 2020
Centralized and distributed online learning for sparse time-varying optimization S. Fosson 9 21 0 31 Jan 2020
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis Damian Brzyski Xixi Hu J. Goñi B. Ances T. Randolph J. Harezlak 12 1 0 30 Jan 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 32 20 0 26 Dec 2019
Sparse linear regression with compressed and low-precision data via concave quadratic programming V. Cerone S. Fosson D. Regruto 49 3 0 09 Sep 2019
Safe Feature Elimination for Non-Negativity Constrained Convex Optimization James Folberth Stephen Becker 16 0 0 25 Jul 2019
Dual Extrapolation for Sparse Generalized Linear Models Mathurin Massias Samuel Vaiter Alexandre Gramfort Joseph Salmon 171 18 0 12 Jul 2019
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors M. Kubkowski J. Mielniczuk 21 3 0 10 Jun 2019
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization S. Fosson Mohammad Abuabiah 14 12 0 30 May 2019
Learning step sizes for unfolded sparse coding Pierre Ablin Thomas Moreau Mathurin Massias Alexandre Gramfort MQ 22 51 0 27 May 2019
The False Positive Control Lasso Erik Drysdale Yingwei P Peng T. Hanna P. Nguyen Anna Goldenberg 11 2 0 29 Mar 2019
Feature Selection for Data Integration with Mixed Multi-view Data Yulia Baker Tiffany M. Tang Genevera I. Allen 9 15 0 27 Mar 2019
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms Mohsen Ghassemi Z. Shakeri Anand D. Sarwate W. Bajwa 22 16 0 22 Mar 2019
Wavelet regression and additive models for irregularly spaced data Asad Haris N. Simon Ali Shojaie 14 5 0 11 Mar 2019
Screening Rules for Lasso with Non-Convex Sparse Regularizers A. Rakotomamonjy Gilles Gasso Joseph Salmon 36 24 0 16 Feb 2019
How do infinite width bounded norm networks look in function space? Pedro H. P. Savarese Itay Evron Daniel Soudry Nathan Srebro 14 163 0 13 Feb 2019
Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems C. S. Kulkarni 15 10 0 07 Feb 2019
Primal path algorithm for compositional data analysis Jong-June Jeon Yongdai Kim Sungho Won Hosik Choi 13 7 0 21 Dec 2018
A biconvex analysis for Lasso l1 reweighting S. Fosson 17 4 0 07 Dec 2018
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 20 33 0 09 Nov 2018
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks Philipp Otto R. Steinert 9 10 0 16 Oct 2018
Convex Hull Approximation of Nearly Optimal Lasso Solutions Satoshi Hara Takanori Maehara 22 1 0 14 Oct 2018
Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems Shuaiwen Wang Wenda Zhou A. Maleki Haihao Lu Vahab Mirrokni 7 13 0 04 Oct 2018
Learning high-dimensional graphical models with regularized quadratic scoring Eric Janofsky 19 1 0 15 Sep 2018
The Generalized Lasso Problem and Uniqueness Alnur Ali R. Tibshirani 13 42 0 20 May 2018
Sequential adaptive elastic net approach for single-snapshot source localization Muhammad Naveed Tabassum Esa Ollila 11 4 0 19 May 2018
Model selection with lasso-zero: adding straw to the haystack to better find needles Pascaline Descloux S. Sardy 47 10 0 14 May 2018
Data-driven Discovery of Closure Models Shaowu Pan Karthik Duraisamy AI4CE 16 91 0 25 Mar 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 26 867 0 23 Mar 2018
On the length of post-model-selection confidence intervals conditional on polyhedral constraints D. Kivaranovic Hannes Leeb 13 17 0 05 Mar 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 37 180 0 05 Mar 2018
Bayesian Lasso : Concentration and MCMC Diagnosis Daoud Ounaissi Nadji Rahmania 16 0 0 22 Feb 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation Mathurin Massias Alexandre Gramfort Joseph Salmon 36 72 0 21 Feb 2018
On the Complexity of the Weighted Fused Lasso José Bento R. Furmaniak Surjyendu Ray 33 7 0 15 Jan 2018
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries M. Tsakiris René Vidal 29 31 0 01 Jan 2018
Multiple Equivalent Solutions for the Lasso Yannis Pantazis V. Lagani Paulos Charonyktakis Ioannis Tsamardinos 11 2 0 13 Oct 2017
Adaptive multi-penalty regularization based on a generalized Lasso path M. Grasmair T. Klock Valeriya Naumova 11 9 0 11 Oct 2017
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net T. Michoel 11 1 0 25 Sep 2017
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition Mohammad Rostami Soheil Kolouri Kyungnam Kim Eric Eaton FedML CLL 14 34 0 15 Sep 2017
On the Distribution, Model Selection Properties and Uniqueness of the Lasso Estimator in Low and High Dimensions K. Ewald U. Schneider 41 11 0 31 Aug 2017
Fast Exact Conformalization of Lasso using Piecewise Linear Homotopy Jing Lei 11 35 0 01 Aug 2017