ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1205.0079
  4. Cited By
Complexity Analysis of the Lasso Regularization Path
v1v2 (latest)

Complexity Analysis of the Lasso Regularization Path

International Conference on Machine Learning (ICML), 2012
1 May 2012
Julien Mairal
Bin Yu
ArXiv (abs)PDFHTML

Papers citing "Complexity Analysis of the Lasso Regularization Path"

50 / 58 papers shown
Title
A fast algorithm for solving the lasso problem exactly without homotopy using differential inclusions
A fast algorithm for solving the lasso problem exactly without homotopy using differential inclusions
G. P. Langlois
Jérome Darbon
95
0
0
08 Jul 2025
Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation
Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation
Martin Genzel
Patrick Putzky
Pengfei Zhao
Siyang Song
Mattes Mollenhauer
Robert Seidel
Stefan Dietzel
Thomas Wollmann
213
0
0
03 Feb 2025
Variational Mode Decomposition and Linear Embeddings are What You Need
  For Time-Series Forecasting
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
Hafizh Raihan Kurnia Putra
Novanto Yudistira
Tirana Noor Fatyanosa
AI4TS
135
0
0
28 Aug 2024
Multi-level projection with exponential parallel speedup; Application to
  sparse auto-encoders neural networks
Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks
Guillaume Perez
Michel Barlaud
174
0
0
03 May 2024
Integrated path stability selection
Integrated path stability selectionJournal of the American Statistical Association (JASA), 2024
Omar Melikechi
Jeffrey W. Miller
240
3
0
23 Mar 2024
Quantum Algorithms for the Pathwise Lasso
Quantum Algorithms for the Pathwise Lasso
J. F. Doriguello
Debbie Lim
Chi Seng Pun
Patrick Rebentrost
Tushar Vaidya
546
2
0
21 Dec 2023
Fast Screening Rules for Optimal Design via Quadratic Lasso
  Reformulation
Fast Screening Rules for Optimal Design via Quadratic Lasso ReformulationJournal of machine learning research (JMLR), 2023
G. Sagnol
Luc Pronzato
121
0
0
13 Oct 2023
Solution Path of Time-varying Markov Random Fields with Discrete
  Regularization
Solution Path of Time-varying Markov Random Fields with Discrete Regularization
Salar Fattahi
A. Gómez
130
2
0
25 Jul 2023
Bounded P-values in Parametric Programming-based Selective Inference
Bounded P-values in Parametric Programming-based Selective InferenceJapanese Journal of Statistics and Data Science (JSDS), 2023
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
223
2
0
21 Jul 2023
A Unified Framework for Pattern Recovery in Penalized and Thresholded Estimation and its Geometry
A Unified Framework for Pattern Recovery in Penalized and Thresholded Estimation and its Geometry
P. Graczyk
U. Schneider
T. Skalski
P. Tardivel
310
4
0
19 Jul 2023
Conformalization of Sparse Generalized Linear Models
Conformalization of Sparse Generalized Linear ModelsInternational Conference on Machine Learning (ICML), 2023
E. Guha
Eugène Ndiaye
X. Huo
216
3
0
11 Jul 2023
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Saddle-to-Saddle Dynamics in Diagonal Linear NetworksNeural Information Processing Systems (NeurIPS), 2023
Scott Pesme
Nicolas Flammarion
360
45
0
02 Apr 2023
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High
  Dimensional Uncertainty Quantification
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty QuantificationJournal of Applied Statistics (J. Appl. Stat.), 2022
Arnau Albà
R. Boiger
D. Rochman
Andreas Adelmann
191
2
0
07 Oct 2022
Benchopt: Reproducible, efficient and collaborative optimization
  benchmarks
Benchopt: Reproducible, efficient and collaborative optimization benchmarksNeural Information Processing Systems (NeurIPS), 2022
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
Pierre Ablin
Pierre-Antoine Bannier Benjamin Charlier
...
Binh Duc Nguyen
A. Rakotomamonjy
Zaccharie Ramzi
Joseph Salmon
Samuel Vaiter
249
48
0
27 Jun 2022
Automatic differentiation of nonsmooth iterative algorithms
Automatic differentiation of nonsmooth iterative algorithmsNeural Information Processing Systems (NeurIPS), 2022
Jérôme Bolte
Edouard Pauwels
Samuel Vaiter
197
28
0
31 May 2022
A Confidence Machine for Sparse High-Order Interaction Model
A Confidence Machine for Sparse High-Order Interaction Model
Chen Liang
Eugène Ndiaye
Ichiro Takeuchi
TPM
227
3
0
28 May 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable
  Selection with Theoretical Guarantees
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical GuaranteesNeural Information Processing Systems (NeurIPS), 2022
Wenying Deng
Beau Coker
Rajarshi Mukherjee
J. Liu
B. Coull
177
4
0
15 Apr 2022
Fast Feature Selection with Fairness Constraints
Fast Feature Selection with Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Francesco Quinzan
Rajiv Khanna
Moshik Hershcovitch
S. Cohen
Daniel Waddington
Tobias Friedrich
Michael W. Mahoney
195
4
0
28 Feb 2022
Statistical Inference for the Dynamic Time Warping Distance, with
  Application to Abnormal Time-Series Detection
Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series DetectionAnnals of the Institute of Statistical Mathematics (AISM), 2022
Vo Nguyen Le Duy
I. Takeuchi
114
3
0
14 Feb 2022
Continuation Path with Linear Convergence Rate
Continuation Path with Linear Convergence Rate
Eugène Ndiaye
Ichiro Takeuchi
139
4
0
09 Dec 2021
Fast and More Powerful Selective Inference for Sparse High-order
  Interaction Model
Fast and More Powerful Selective Inference for Sparse High-order Interaction ModelAAAI Conference on Artificial Intelligence (AAAI), 2021
Chen Liang
Vo Nguyen Le Duy
Hiroyuki Hanada
Koji Tsuda
Ichiro Takeuchi
118
22
0
09 Jun 2021
Nonsmooth Implicit Differentiation for Machine Learning and Optimization
Nonsmooth Implicit Differentiation for Machine Learning and OptimizationNeural Information Processing Systems (NeurIPS), 2021
Jérôme Bolte
Tam Le
Edouard Pauwels
Antonio Silveti-Falls
188
66
0
08 Jun 2021
Unbalanced Optimal Transport through Non-negative Penalized Linear
  Regression
Unbalanced Optimal Transport through Non-negative Penalized Linear RegressionNeural Information Processing Systems (NeurIPS), 2021
Laetitia Chapel
Rémi Flamary
Haoran Wu
Cédric Févotte
Gilles Gasso
OT
142
54
0
08 Jun 2021
Efficient and Modular Implicit Differentiation
Efficient and Modular Implicit DifferentiationNeural Information Processing Systems (NeurIPS), 2021
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
346
281
0
31 May 2021
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric ProgrammingJournal of machine learning research (JMLR), 2021
Vo Nguyen Le Duy
Ichiro Takeuchi
164
39
0
11 May 2021
Implicit differentiation for fast hyperparameter selection in non-smooth
  convex learning
Implicit differentiation for fast hyperparameter selection in non-smooth convex learningJournal of machine learning research (JMLR), 2021
Quentin Bertrand
Quentin Klopfenstein
Mathurin Massias
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
251
29
0
04 May 2021
The Hessian Screening Rule
The Hessian Screening RuleNeural Information Processing Systems (NeurIPS), 2021
Johan Larsson
J. Wallin
221
4
0
27 Apr 2021
Root-finding Approaches for Computing Conformal Prediction Set
Root-finding Approaches for Computing Conformal Prediction SetMachine-mediated learning (ML), 2021
Eugène Ndiaye
Ichiro Takeuchi
273
10
0
14 Apr 2021
An Exact Solution Path Algorithm for SLOPE and Quasi-Spherical OSCAR
An Exact Solution Path Algorithm for SLOPE and Quasi-Spherical OSCAR
S. Nomura
157
4
0
29 Oct 2020
Efficient Path Algorithms for Clustered Lasso and OSCAR
Efficient Path Algorithms for Clustered Lasso and OSCAR
Atsumori Takahashi
S. Nomura
111
4
0
16 Jun 2020
Fast Parallel Algorithms for Statistical Subset Selection Problems
Fast Parallel Algorithms for Statistical Subset Selection Problems
Sharon Qian
Yaron Singer
204
8
0
06 Mar 2019
Robust supervised classification and feature selection using a
  primal-dual method
Robust supervised classification and feature selection using a primal-dual method
Michel Barlaud
A. Chambolle
Jean-Baptiste Caillau
250
9
0
05 Feb 2019
Safe Grid Search with Optimal Complexity
Safe Grid Search with Optimal Complexity
Eugène Ndiaye
Tam Le
Olivier Fercoq
Joseph Salmon
Ichiro Takeuchi
239
49
0
12 Oct 2018
The Well Tempered Lasso
The Well Tempered Lasso
Yuanzhi Li
Y. Singer
125
7
0
08 Jun 2018
On the Complexity of the Weighted Fused Lasso
On the Complexity of the Weighted Fused Lasso
José Bento
R. Furmaniak
Surjyendu Ray
165
8
0
15 Jan 2018
Clustering with feature selection using alternating minimization,
  Application to computational biology
Clustering with feature selection using alternating minimization, Application to computational biology
Cyprien Gilet
M. Deprez
Jean-Baptiste Caillau
Michel Barlaud
166
3
0
08 Nov 2017
Efficient Clustering of Correlated Variables and Variable Selection in
  High-Dimensional Linear Models
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models
N. Gauraha
S. Parui
95
2
0
11 Mar 2016
Aggregation of supports along the Lasso path
Aggregation of supports along the Lasso path
Pierre C. Bellec
202
1
0
10 Feb 2016
DECOrrelated feature space partitioning for distributed sparse
  regression
DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang
David B. Dunson
Chenlei Leng
352
21
0
08 Feb 2016
Classification and regression using an outer approximation
  projection-gradient method
Classification and regression using an outer approximation projection-gradient methodIEEE Transactions on Signal Processing (IEEE TSP), 2015
Michel Barlaud
Wafa Belhajali
P. Combettes
L. Fillatre
187
25
0
06 Jun 2015
Mind the duality gap: safer rules for the Lasso
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
317
142
0
13 May 2015
Regularization Path of Cross-Validation Error Lower Bounds
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki
Yoshiki Suzuki
Masayuki Karasuyama
Ichiro Takeuchi
145
11
0
09 Feb 2015
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision ProcessingFoundations and Trends in Computer Graphics and Vision (FTCGV), 2014
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
270
495
0
12 Nov 2014
A Greedy Homotopy Method for Regression with Nonconvex Constraints
A Greedy Homotopy Method for Regression with Nonconvex Constraints
Fabian L. Wauthier
P. Donnelly
104
1
0
27 Oct 2014
Optimal Two-Step Prediction in Regression
Optimal Two-Step Prediction in Regression
Didier Chételat
Johannes Lederer
Joseph Salmon
358
19
0
18 Oct 2014
Fast tree inference with weighted fusion penalties
Fast tree inference with weighted fusion penalties
J. Chiquet
P. Gutierrez
G. Rigaill
197
26
0
22 Jul 2014
Low Complexity Regularization of Linear Inverse Problems
Low Complexity Regularization of Linear Inverse Problems
Samuel Vaiter
Gabriel Peyré
M. Fadili
311
33
0
07 Jul 2014
Screening Tests for Lasso Problems
Screening Tests for Lasso ProblemsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
Z. Xiang
Yun Wang
Peter J. Ramadge
290
113
0
19 May 2014
An Algorithmic Framework for Computing Validation Performance Bounds by
  Using Suboptimal Models
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models
Yoshiki Suzuki
Kohei Ogawa
Yuki Shinmura
Ichiro Takeuchi
116
0
0
10 Feb 2014
Dictionary learning for fast classification based on soft-thresholding
Dictionary learning for fast classification based on soft-thresholdingInternational Journal of Computer Vision (IJCV), 2014
Alhussein Fawzi
Mike Davies
P. Frossard
183
48
0
09 Feb 2014
12
Next