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Nearly unbiased variable selection under minimax concave penalty

Nearly unbiased variable selection under minimax concave penalty

25 February 2010
Cun-Hui Zhang
ArXiv (abs)PDFHTML

Papers citing "Nearly unbiased variable selection under minimax concave penalty"

50 / 721 papers shown
Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
Jialai She
FAtt
194
0
0
02 Dec 2025
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
Lechen Feng
Haoran Li
Lucky Li
Xingqiu Zhao
160
0
0
26 Nov 2025
Structured Matrix Scaling for Multi-Class Calibration
Structured Matrix Scaling for Multi-Class Calibration
Eugene Berta
David Holzmüller
Michael I. Jordan
Francis Bach
190
3
0
05 Nov 2025
A Stable Lasso
A Stable Lasso
Mahdi Nouraie
Houying Zhu
Samuel Muller
216
1
0
04 Nov 2025
Stochastic Difference-of-Convex Optimization with Momentum
Stochastic Difference-of-Convex Optimization with Momentum
El Mahdi Chayti
Martin Jaggi
154
0
0
20 Oct 2025
Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios
Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios
Runlin Zhou
Letian Li
Zemin Zheng
FedML
189
0
0
16 Oct 2025
Tensor Completion via Monotone Inclusion: Generalized Low-Rank Priors Meet Deep Denoisers
Tensor Completion via Monotone Inclusion: Generalized Low-Rank Priors Meet Deep Denoisers
Peng Chen
Deliang Wei
Jiale Yao
Fang Li
236
0
0
14 Oct 2025
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Rui Zhao
Zihan Chen
Zemin Zheng
114
0
0
09 Oct 2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study
Learning Regularization Functionals for Inverse Problems: A Comparative Study
J. Hertrich
Matthias Joachim Ehrhardt
Alexander Denker
Stanislas Ducotterd
Zhenghan Fang
...
German Shâma Wache
Martin Zach
Yasi Zhang
Matthias Joachim Ehrhardt
Sebastian Neumayer
235
10
0
02 Oct 2025
Anchored Langevin Algorithms
Anchored Langevin Algorithms
Mert Gurbuzbalaban
Hoang M. Nguyen
Xicheng Zhang
Lingjiong Zhu
225
0
0
23 Sep 2025
Nonconvex Regularization for Feature Selection in Reinforcement Learning
Nonconvex Regularization for Feature Selection in Reinforcement Learning
Kyohei Suzuki
Konstantinos Slavakis
OffRL
81
0
0
19 Sep 2025
Sparse minimum Redundancy Maximum Relevance for feature selection
Sparse minimum Redundancy Maximum Relevance for feature selection
Peter Naylor
B. Poignard
Héctor Climente-González
M. Yamada
192
0
0
26 Aug 2025
Diffusion-Driven High-Dimensional Variable Selection
Diffusion-Driven High-Dimensional Variable Selection
Minjie Wang
Xiaotong Shen
Wei Pan
289
0
0
19 Aug 2025
Quantization through Piecewise-Affine Regularization: Optimization and Statistical Guarantees
Quantization through Piecewise-Affine Regularization: Optimization and Statistical Guarantees
Jianhao Ma
Lin Xiao
151
0
0
14 Aug 2025
Federated Online Learning for Heterogeneous Multisource Streaming Data
Federated Online Learning for Heterogeneous Multisource Streaming Data
Jingmao Li
Yuanxing Chen
Shuangge Ma
Kuangnan Fang
FedML
151
0
0
08 Aug 2025
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
Y. Sun
Faming Liang
UQCV
246
0
0
02 Aug 2025
WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
Takanobu Furuhashi
H. Hontani
Tatsuya Yokota
Tatsuya Yokota
219
0
0
28 Jul 2025
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
Niloofar Ramezani
Martin Slawski
206
0
0
26 Jul 2025
Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
Zhenhao Zhang
Yunquan Song
133
0
0
01 Jul 2025
Scalable Subset Selection in Linear Mixed Models
Scalable Subset Selection in Linear Mixed Models
Ryan Thompson
Matt P. Wand
Joanna J. J. Wang
232
0
0
25 Jun 2025
Proximal Operators of Sorted Nonconvex Penalties
Proximal Operators of Sorted Nonconvex Penalties
Anne Gagneux
Mathurin Massias
Emmanuel Soubies
157
0
0
18 Jun 2025
Coefficient Shape Transfer Learning for Functional Linear Regression
Coefficient Shape Transfer Learning for Functional Linear Regression
Shuhao Jiao
Ian W. Mckeague
419
0
0
13 Jun 2025
Accelerating Large-Scale Regularized High-Order Tensor Recovery
Accelerating Large-Scale Regularized High-Order Tensor Recovery
Wenjin Qin
Hailin Wang
Jingyao Hou
Jianjun Wang
339
1
0
11 Jun 2025
Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
Tien Mai
169
2
0
09 Jun 2025
A Generic Branch-and-Bound Algorithm for $\ell_0$-Penalized Problems with Supplementary Material
A Generic Branch-and-Bound Algorithm for ℓ0\ell_0ℓ0​-Penalized Problems with Supplementary Material
Clément Elvira
Théo Guyard
Cédric Herzet
213
0
0
04 Jun 2025
Stability Selection via Variable Decorrelation
Stability Selection via Variable Decorrelation
Mahdi Nouraie
Connor Smith
Samuel Muller
221
2
0
27 May 2025
Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization
Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization
Wenjin Qin
Hailin Wang
Hao Shu
Feng Zhang
Jianjun Wang
Xiangyong Cao
Xi-Le Zhao
Gemine Vivone
339
2
0
23 May 2025
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization FunctionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Danial Davarnia
Mohammadreza Kiaghadi
307
2
0
06 May 2025
Robust Orthogonal NMF with Label Propagation for Image Clustering
Robust Orthogonal NMF with Label Propagation for Image Clustering
Jingjing Liu
Nian Wu
Xianchao Xiu
Jing Zhang
186
1
0
30 Apr 2025
Post-Transfer Learning Statistical Inference in High-Dimensional Regression
Post-Transfer Learning Statistical Inference in High-Dimensional RegressionStatistics and computing (Stat. Comput.), 2025
Nguyen Vu Khai Tam
Cao Huyen My
Vo Nguyen Le Duy
268
0
0
25 Apr 2025
Adaptive Classification of Interval-Valued Time Series
Adaptive Classification of Interval-Valued Time Series
Wan Tian
Zhongfeng Qin
AI4TS
272
0
0
04 Apr 2025
Communication-Efficient l_0 Penalized Least Square
Communication-Efficient l_0 Penalized Least Square
Chenqi Gong
Hu Yang
303
0
0
01 Apr 2025
Parameter-free structure-texture image decomposition by unrolling
Parameter-free structure-texture image decomposition by unrollingScale Space and Variational Methods in Computer Vision (SSVM), 2025
Laura Girometti
Jean-François Aujol
Antoine Guennec
Yann Traonmilin
317
2
0
17 Mar 2025
Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
Reza Mirzaeifard
Stefan Werner
FedML
252
1
0
13 Mar 2025
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector MachineJournal of the American Statistical Association (JASA), 2025
Canyi Chen
Nan Qiao
Liping Zhu
300
1
0
10 Mar 2025
An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition
An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix DecompositionJournal of Scientific Computing (J. Sci. Comput.), 2025
Qingsong Wang
Yunfei Qu
Chunfeng Cui
Deren Han
363
3
0
04 Mar 2025
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
Sanghee Kim
Sumanta Basu
245
1
0
17 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial SymmetriesInternational Conference on Learning Representations (ICLR), 2025
Chris Kolb
T. Weber
B. Bischl
David Rügamer
1.0K
10
0
04 Feb 2025
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
Jingruo Sun
Zachary Frangella
Madeleine Udell
308
3
0
28 Jan 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
324
3
0
19 Jan 2025
Asymptotics for estimating a diverging number of parameters - with and
  without sparsity
Asymptotics for estimating a diverging number of parameters - with and without sparsity
Jana Gauss
Thomas Nagler
401
1
0
26 Nov 2024
Robust Inference for High-dimensional Linear Models with Heavy-tailed
  Errors via Partial Gini Covariance
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
Yilin Zhang
Songshan Yang
Y. Wu
Lan Wang
473
0
0
19 Nov 2024
Adaptive signal recovery in sparse nonparametric models
Adaptive signal recovery in sparse nonparametric models
Natalia Stepanova
Marie Turcicova
225
0
0
06 Nov 2024
Sparse Linear Regression: Sequential Convex Relaxation, Robust
  Restricted Null Space Property, and Variable Selection
Sparse Linear Regression: Sequential Convex Relaxation, Robust Restricted Null Space Property, and Variable Selection
Shujun Bi
Yonghua Yang
S. Pan
299
0
0
02 Nov 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
ProTransformer: Robustify Transformers via Plug-and-Play ParadigmNeural Information Processing Systems (NeurIPS), 2024
Zhichao Hou
Weizhi Gao
Yuchen Shen
Feiyi Wang
Xiaorui Liu
VLM
322
3
0
30 Oct 2024
FastSurvival: Hidden Computational Blessings in Training Cox
  Proportional Hazards Models
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards ModelsNeural Information Processing Systems (NeurIPS), 2024
Jiachang Liu
Rui Zhang
Cynthia Rudin
411
0
0
24 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning
Markov Equivalence and Consistency in Differentiable Structure LearningNeural Information Processing Systems (NeurIPS), 2024
Chang Deng
Kevin Bello
Pradeep Ravikumar
Bryon Aragam
CML
607
0
0
08 Oct 2024
Estimating Generalization Performance Along the Trajectory of Proximal
  SGD in Robust Regression
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust RegressionNeural Information Processing Systems (NeurIPS), 2024
Kai Tan
Pierre C. Bellec
354
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0
03 Oct 2024
Group lasso based selection for high-dimensional mediation analysis
Group lasso based selection for high-dimensional mediation analysis
Allan Jérolon
Flora Alarcon
Florence Pittion
Magali Richard
Olivier François
Etienne E. Birmelé
Vittorio Perduca
171
1
0
30 Sep 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
Evaluating Model Robustness Using Adaptive Sparse L0 RegularizationInternational Conference on Advanced Data Mining and Applications (ADMA), 2024
Weiyou Liu
Zhenyang Li
Weitong Chen
AAML
265
1
0
28 Aug 2024
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