Nearly unbiased variable selection under minimax concave penalty

25 February 2010

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

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Title
Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach M. Ndaoud 18 11 0 27 Aug 2020
HALO: Learning to Prune Neural Networks with Shrinkage Skyler Seto M. Wells Wenyu Zhang 19 0 0 24 Aug 2020
LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity Yikai Wang Ying Guo 6 4 0 19 Aug 2020
Fast algorithms for robust principal component analysis with an upper bound on the rank Ningyu Sha Lei Shi Ming Yan 14 4 0 18 Aug 2020
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion Yaqing Wang Quanming Yao James T. Kwok 24 0 0 14 Aug 2020
Deconfounding and Causal Regularization for Stability and External Validity Peter Buhlmann Domagoj Cevid CML 6 11 0 14 Aug 2020
Supervised clustering of high dimensional data using regularized mixture modeling Wennan Chang Changlin Wan Yong Zang Chi Zhang Sha Cao 11 11 0 19 Jul 2020
Sparsity-Agnostic Lasso Bandit Min Hwan Oh G. Iyengar A. Zeevi 26 45 0 16 Jul 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model Jianqing Fan Zhuoran Yang Mengxin Yu 24 16 0 16 Jul 2020
Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees Luca Insolia Ana M. Kenney Francesca Chiaromonte G. Felici 16 20 0 12 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 20 591 0 07 Jul 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding Jie Shen 15 5 0 07 Jul 2020
Best subset selection is robust against design dependence Yongyi Guo Ziwei Zhu Jianqing Fan 13 7 0 03 Jul 2020
Ideal formulations for constrained convex optimization problems with indicator variables Linchuan Wei A. Gómez Simge Küçükyavuz 8 32 0 30 Jun 2020
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python J. Ge Xingguo Li Haoming Jiang Han Liu Tong Zhang Mengdi Wang T. Zhao 10 34 0 27 Jun 2020
$Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?$ Does the $\ell_1$ -norm Learn a Sparse Graph under Laplacian Constrained Graphical Models? Jiaxi Ying J. Cardoso Daniel P. Palomar 18 10 0 26 Jun 2020
Understanding Notions of Stationarity in Non-Smooth Optimization Jiajin Li Anthony Man-Cho So Wing-Kin Ma 9 46 0 26 Jun 2020
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression A. Rakotomamonjy Rémi Flamary Gilles Gasso Joseph Salmon 14 4 0 24 Jun 2020
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 46 157 0 18 Jun 2020
Bayesian Elastic Net based on Empirical Likelihood Chul Moon Adel Bedoui 6 5 0 18 Jun 2020
Functional Group Bridge for Simultaneous Regression and Support Estimation Zhengjia Wang J. Magnotti M. Beauchamp Meng Li 18 3 0 17 Jun 2020
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers April Sagan J. Mitchell 19 5 0 13 Jun 2020
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning Dimitris Bertsimas V. Digalakis 35 10 0 11 Jun 2020
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance Jie Shen Chicheng Zhang 17 14 0 06 Jun 2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation Haijin Zeng Xiaozhen Xie J. Ning 58 48 0 30 May 2020
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks Simge Küçükyavuz Ali Shojaie Hasan Manzour Linchuan Wei Hao-Hsiang Wu 12 15 0 29 May 2020
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure Tudor Manole Abbas Khalili 27 19 0 24 May 2020
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty Tal Amir Ronen Basri B. Nadler 8 14 0 18 May 2020
Selective Confidence Intervals for Martingale Regression Model K. Tsang Wei Dai 11 0 0 18 May 2020
Nested Model Averaging on Solution Path for High-dimensional Linear Regression Yang Feng Qingfeng Liu MoMe 22 5 0 16 May 2020
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration Nanwei Wang L. Briollais H. Massam 9 2 0 08 May 2020
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery M. Laszkiewicz Asja Fischer Johannes Lederer 24 5 0 01 May 2020
Nonconvex regularization for sparse neural networks Konstantin Pieper Armenak Petrosyan 21 7 0 24 Apr 2020
Robust adaptive variable selection in ultra-high dimensional linear regression models A. Ghosh M. Jaenada Leandro Pardo 20 6 0 11 Apr 2020
Projection Neural Network for a Class of Sparse Regression Problems with Cardinality Penalty Wenjing Li Wei Bian 16 10 0 02 Apr 2020
Nonconvex sparse regularization for deep neural networks and its optimality Ilsang Ohn Yongdai Kim 9 19 0 26 Mar 2020
Inference for possibly high-dimensional inhomogeneous Gibbs point processes Ismaila Ba Jean‐François Coeurjolly 6 3 0 22 Mar 2020
Low-Rank and Total Variation Regularization and Its Application to Image Recovery P. Goyal Hussam Al Daas P. Benner 9 1 0 12 Mar 2020
Linear time dynamic programming for the exact path of optimal models selected from a finite set T. Hocking Joseph Vargovich 19 2 0 05 Mar 2020
Universal sieve-based strategies for efficient estimation using machine learning tools Hongxiang Qiu Alexander Luedtke M. Carone 13 6 0 04 Mar 2020
On Minimax Exponents of Sparse Testing Rajarshi Mukherjee S. Sen 11 7 0 01 Mar 2020
Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties B. Stokell Rajen Dinesh Shah R. Tibshirani 12 17 0 28 Feb 2020
Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions Negin Golrezaei Adel Javanmard Vahab Mirrokni 6 94 0 25 Feb 2020
Sparse principal component regression via singular value decomposition approach Shuichi Kawano 4 5 0 21 Feb 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand Quentin Klopfenstein Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 22 64 0 20 Feb 2020
$$\ell_0$-Regularized High-dimensional Accelerated Failure Time Model$ $\ell_0$ -Regularized High-dimensional Accelerated Failure Time Model Xingdong Feng Jian Huang Yuling Jiao Shuang Zhang 14 0 0 09 Feb 2020
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection Qifan Song Y. Sun Mao Ye F. Liang BDL 12 16 0 07 Feb 2020
Subsampling Winner Algorithm for Feature Selection in Large Regression Data Yiying Fan Jiayang Sun 4 1 0 07 Feb 2020
Generalization Bounds for High-dimensional M-estimation under Sparsity Constraint Xiao-Tong Yuan Ping Li 11 2 0 20 Jan 2020
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models Jian Huang Yuling Jiao Lican Kang Jin Liu Yanyan Liu Xiliang Lu 24 0 0 16 Jan 2020