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Celer: a Fast Solver for the Lasso with Dual Extrapolation

21 February 2018

Papers citing "Celer: a Fast Solver for the Lasso with Dual Extrapolation"

45 / 45 papers shown

Title
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 179 0 0 02 Apr 2025
Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni Oisin Mac Aodha Pietro Perona DRL 496 2 0 19 Mar 2025
Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization Hao Wang Ye Wang Xiangyu Yang 83 0 0 22 Jun 2024
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models Jeremy E. Cohen Valentin Leplat 130 3 0 27 Mar 2024
Dynamic Incremental Optimization for Best Subset Selection Shaogang Ren Xiaoning Qian 68 0 0 04 Feb 2024
Anytime Model Selection in Linear Bandits Parnian Kassraie N. Emmenegger Andreas Krause Aldo Pacchiano 94 2 0 24 Jul 2023
Safe Screening for Unbalanced Optimal Transport Xun Su Zhongxi Fang Hiroyuki Kasai OT 85 0 0 01 Jul 2023
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 75 3 0 27 Oct 2022
Best Subset Selection with Efficient Primal-Dual Algorithm Shaogang Ren Guanhua Fang P. Li 35 0 0 05 Jul 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau Mathurin Massias Alexandre Gramfort Pierre Ablin Pierre-Antoine Bannier Benjamin Charlier ... Binh Duc Nguyen A. Rakotomamonjy Zaccharie Ramzi Joseph Salmon Samuel Vaiter 124 36 0 27 Jun 2022
Smooth over-parameterized solvers for non-smooth structured optimization C. Poon Gabriel Peyré 99 19 0 03 May 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks Ziyang Zheng Wenrui Dai Duoduo Xue Chenglin Li Junni Zou H. Xiong 86 18 0 25 Apr 2022
Beyond L1: Faster and Better Sparse Models with skglm Quentin Bertrand Quentin Klopfenstein Pierre-Antoine Bannier Gauthier Gidel Mathurin Massias 55 14 0 16 Apr 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 135 143 0 01 Feb 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 94 6 0 01 Feb 2022
Continuation Path with Linear Convergence Rate Eugène Ndiaye Ichiro Takeuchi 68 4 0 09 Dec 2021
OmiTrans: generative adversarial networks based omics-to-omics translation framework Xiaoyu Zhang Yike Guo MedIm 65 5 0 27 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 114 39 0 04 Nov 2021
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 109 14 0 22 Oct 2021
abess: A Fast Best Subset Selection Library in Python and R Jin Zhu Xueqin Wang Liyuan Hu Junhao Huang Kangkang Jiang Yanhang Zhang Shiyun Lin Junxian Zhu 72 22 0 19 Oct 2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties Iain Carmichael T. Keefe Naomi Giertych Jonathan P. Williams 58 1 0 11 Oct 2021
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression Laetitia Chapel Rémi Flamary Haoran Wu Cédric Févotte Gilles Gasso OT 49 46 0 08 Jun 2021
Smooth Bilevel Programming for Sparse Regularization C. Poon Gabriel Peyré 105 18 0 02 Jun 2021
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 99 28 0 04 May 2021
The Hessian Screening Rule Johan Larsson J. Wallin 73 3 0 27 Apr 2021
Elastic Net Regularization Paths for All Generalized Linear Models J. K. Tay B. Narasimhan Trevor Hastie 34 305 0 05 Mar 2021
Anderson acceleration of coordinate descent Quentin Bertrand Mathurin Massias 37 12 0 19 Nov 2020
Model identification and local linear convergence of coordinate descent Quentin Klopfenstein Quentin Bertrand Alexandre Gramfort Joseph Salmon Samuel Vaiter 121 5 0 22 Oct 2020
Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications F. Iutzeler J. Malick 77 16 0 02 Oct 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso Jérôme-Alexis Chevalier Alexandre Gramfort Joseph Salmon Bertrand Thirion 79 10 0 29 Sep 2020
Screening Rules and its Complexity for Active Set Identification Eugène Ndiaye Olivier Fercoq Joseph Salmon 107 8 0 06 Sep 2020
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression A. Rakotomamonjy Rémi Flamary Gilles Gasso Joseph Salmon 38 4 0 24 Jun 2020
An Efficient Semi-smooth Newton Augmented Lagrangian Method for Elastic Net Tobia Boschi M. Reimherr Francesca Chiaromonte 26 3 0 06 Jun 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand Quentin Klopfenstein Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 104 66 0 20 Feb 2020
On Newton Screening Jian Huang Yuling Jiao Lican Kang Jin Liu Yanyan Liu Xiliang Lu Yuanyuan Yang 18 2 0 27 Jan 2020
Anderson Acceleration of Proximal Gradient Methods Vien V. Mai M. Johansson 32 37 0 18 Oct 2019
Dual Extrapolation for Sparse Generalized Linear Models Mathurin Massias Samuel Vaiter Alexandre Gramfort Joseph Salmon 402 18 0 12 Jul 2019
Large scale Lasso with windowed active set for convolutional spike sorting Laurent Dragoni Rémi Flamary Karim Lounici Patricia Reynaud-Bouret 47 0 0 28 Jun 2019
Learning step sizes for unfolded sparse coding Pierre Ablin Thomas Moreau Mathurin Massias Alexandre Gramfort MQ 106 54 0 27 May 2019
Screening Rules for Lasso with Non-Convex Sparse Regularizers A. Rakotomamonjy Gilles Gasso Joseph Salmon 73 25 0 16 Feb 2019
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso Quentin Bertrand Mathurin Massias Alexandre Gramfort Joseph Salmon 47 0 0 07 Feb 2019
Stable safe screening and structured dictionaries for faster L1 regularization C. Dantas Rémi Gribonval 67 5 0 17 Dec 2018
Efficient Greedy Coordinate Descent for Composite Problems Sai Praneeth Karimireddy Anastasia Koloskova Sebastian U. Stich Martin Jaggi 52 30 0 16 Oct 2018
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems Tyler B. Johnson Carlos Guestrin 51 5 0 20 Jul 2018
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Weizhong Zhang Bin Hong Wei Liu Jieping Ye Deng Cai Xiaofei He Jie Wang 88 38 0 24 Jul 2016