Simultaneous analysis of Lasso and Dantzig selector

7 January 2008

Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

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Title
Sparsity-Agnostic Lasso Bandit Min Hwan Oh G. Iyengar A. Zeevi 23 44 0 16 Jul 2020
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 25 12 0 15 Jul 2020
The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions Hua Wang Yachong Yang Weijie J. Su 27 10 0 01 Jul 2020
$Transfer Learning via $\ell_1$ Regularization$ Transfer Learning via $\ell_1$ Regularization Masaaki Takada Hironori Fujisawa 17 7 0 26 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 27 49 0 15 Jun 2020
Structure learning for CTBN's via penalized maximum likelihood methods Maryia Shpak B. Miasojedow Wojciech Rejchel 14 0 0 13 Jun 2020
Sparse recovery by reduced variance stochastic approximation A. Juditsky A. Kulunchakov Hlib Tsyntseus 16 7 0 11 Jun 2020
Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement Error Huamei Huang Yujing Gao Huiming Zhang Yangqiu Song 8 14 0 11 Jun 2020
An Ensemble Approach for Compressive Sensing with Quantum Ramin Ayanzadeh M. Halem Timothy W. Finin 9 19 0 08 Jun 2020
Selective Confidence Intervals for Martingale Regression Model K. Tsang Wei Dai 6 0 0 18 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 29 86 0 16 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 520 0 12 May 2020
Scalable Interpretable Learning for Multi-Response Error-in-Variables Regression J. Wu Z. Zheng Y. Li Y. Zhang 13 4 0 11 May 2020
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding Zijian Guo Domagoj Cevid Peter Buhlmann CML 14 36 0 08 Apr 2020
Adaptive Estimation in Multivariate Response Regression with Hidden Variables Xin Bing Y. Ning Yaosheng Xu 17 4 0 30 Mar 2020
On Consistency and Sparsity for High-Dimensional Functional Time Series with Application to Autoregressions Shaojun Guo Xinghao Qiao AI4TS 18 11 0 23 Mar 2020
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix Kun Chen Ruipeng Dong Wanwan Xu Zemin Zheng CML 11 2 0 17 Mar 2020
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions Lili Zheng Garvesh Raskutti Rebecca Willett Benjamin Mark 12 0 0 16 Mar 2020
$On the robustness of the minimum $\ell_2$ interpolator$ On the robustness of the minimum $\ell_2$ interpolator Geoffrey Chinot M. Lerasle 28 10 0 12 Mar 2020
II. High Dimensional Estimation under Weak Moment Assumptions: Structured Recovery and Matrix Estimation Xiaohan Wei 11 0 0 05 Mar 2020
Multiclass classification by sparse multinomial logistic regression F. Abramovich V. Grinshtein Tomer Levy 4 21 0 04 Mar 2020
The estimation error of general first order methods Michael Celentano Andrea Montanari Yuchen Wu 6 44 0 28 Feb 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 26 50 0 26 Feb 2020
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis V. Sivakumar Zhiwei Steven Wu A. Banerjee 11 22 0 26 Feb 2020
$Consistency of $\ell _{1}$ Penalized Negative Binomial Regressions$ Consistency of $\ell _{1}$ Penalized Negative Binomial Regressions Fang Xie Zhijie Xiao 14 1 0 18 Feb 2020
$Estimating the Penalty Level of $\ell_{1}$-minimization via Two Gaussian Approximation Methods$ Estimating the Penalty Level of $\ell_{1}$ -minimization via Two Gaussian Approximation Methods Fangzheng Xie 4 0 0 18 Feb 2020
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree Peizhong Ju Xiaojun Lin Jia Liu 77 7 0 02 Feb 2020
Adaptive Estimation and Statistical Inference for High-Dimensional Graph-Based Linear Models Duzhe Wang Po-Ling Loh 8 2 0 29 Jan 2020
Imputation for High-Dimensional Linear Regression Kabir Chandrasekher A. Alaoui Andrea Montanari 27 5 0 24 Jan 2020
Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions Karsten Schweikert 12 6 0 22 Jan 2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation Mathurin Massias Quentin Bertrand Alexandre Gramfort Joseph Salmon 18 4 0 15 Jan 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 50 21 0 27 Dec 2019
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 27 20 0 26 Dec 2019
An error bound for Lasso and Group Lasso in high dimensions Antoine Dedieu 13 3 0 21 Dec 2019
Bayesian high-dimensional linear regression with generic spike-and-slab priors Bai Jiang Qiang Sun 11 3 0 19 Dec 2019
High-Dimensional Granger Causality Tests with an Application to VIX and News Andrii Babii Eric Ghysels Jonas Striaukas 27 100 0 13 Dec 2019
Graph quilting: graphical model selection from partially observed covariances Giuseppe Vinci Gautam Dasarathy Genevera I. Allen CML 8 20 0 11 Dec 2019
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing A. Belloni Mingli Chen Oscar Hernan Madrid Padilla Zixuan Wang Wang 20 15 0 04 Dec 2019
$Sparse recovery via nonconvex regularized $M$-estimators over $\ell_q$-balls$ Sparse recovery via nonconvex regularized $M$ -estimators over $\ell_q$ -balls Xin Li Dongya Wu Chong Li Jinhua Wang J. Yao FedML 21 4 0 19 Nov 2019
Sparse Density Estimation with Measurement Errors Xiaowei Yang Huiming Zhang Haoyu Wei Shouzheng Zhang 23 3 0 14 Nov 2019
$Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression$ Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression Xuzhao Li Yaohua Hu Chong Li Xiaoqi Yang T. Jiang 19 0 0 12 Nov 2019
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 34 31 0 04 Nov 2019
Power analysis of knockoff filters for correlated designs Jingbo Liu Philippe Rigollet 23 16 0 28 Oct 2019
High dimensional regression for regenerative time-series: an application to road traffic modeling M. Bouchouia Franccois Portier AI4TS 12 3 0 24 Oct 2019
Improved error rates for sparse (group) learning with Lipschitz loss functions Antoine Dedieu 6 3 0 20 Oct 2019
First order expansion of convex regularized estimators Pierre C. Bellec Arun K. Kuchibhotla 12 2 0 12 Oct 2019
Rapid mixing of a Markov chain for an exponentially weighted aggregation estimator D. Pollard Dana Yang 20 2 0 25 Sep 2019
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference T. Tony Cai Anru R. Zhang Yuchen Zhou 11 24 0 21 Sep 2019
Does SLOPE outperform bridge regression? Shuaiwen Wang Haolei Weng A. Maleki 15 19 0 20 Sep 2019