Simultaneous analysis of Lasso and Dantzig selector

7 January 2008

Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

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Title
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes Amin Jalali Rebecca Willett 56 4 0 26 Feb 2018
Testability of high-dimensional linear models with non-sparse structures Jelena Bradic Jianqing Fan Yinchu Zhu 15 15 0 26 Feb 2018
Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data Victor Chernozhukov Kaspar Wüthrich Yinchu Zhu OOD 11 87 0 17 Feb 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 27 87 0 30 Jan 2018
A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector and LASSO Yun-Bin Zhao Duan Li 31 2 0 10 Nov 2017
Oracle inequalities for sign constrained generalized linear models Yuta Koike Y. Tanoue 21 5 0 09 Nov 2017
Linear Regression with Sparsely Permuted Data M. Slawski E. Ben-David 34 71 0 16 Oct 2017
Sparse Linear Isotonic Models Sheng Chen A. Banerjee 16 3 0 16 Oct 2017
Is completeness necessary? Estimation in nonidentified linear models Andrii Babii J. Florens 21 17 0 11 Sep 2017
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs Yingying Fan Emre Demirkaya Gaorong Li Jinchi Lv 23 70 0 31 Aug 2017
Fixed effects testing in high-dimensional linear mixed models Jelena Bradic G. Claeskens Thomas Gueuning 25 17 0 14 Aug 2017
Fine-Gray competing risks model with high-dimensional covariates: estimation and Inference Jue Hou Jelena Bradic R. Xu 30 0 0 29 Jul 2017
A Cluster Elastic Net for Multivariate Regression Bradley S. Price Ben Sherwood 31 17 0 12 Jul 2017
An Interactive Greedy Approach to Group Sparsity in High Dimensions Wei Qian Wending Li Yasuhiro Sogawa R. Fujimaki Xitong Yang Ji Liu 11 7 0 10 Jul 2017
Adaptive Huber Regression Qiang Sun Wen-Xin Zhou Jianqing Fan 48 277 0 21 Jun 2017
Local Differential Privacy for Physical Sensor Data and Sparse Recovery A. Gilbert Audra McMillan 18 5 0 31 May 2017
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 16 17 0 30 May 2017
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression Mathurin Massias Olivier Fercoq Alexandre Gramfort Joseph Salmon 31 23 0 27 May 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 46 57 0 16 May 2017
Boosting with Structural Sparsity: A Differential Inclusion Approach Chendi Huang Xinwei Sun Jiechao Xiong Y. Yao 16 13 0 16 Apr 2017
An analysis of the SPARSEVA estimate for the finite sample data case Huong Ha J. Welsh C. Rojas B. Wahlberg 13 1 0 27 Mar 2017
Binarsity: a penalization for one-hot encoded features in linear supervised learning Mokhtar Z. Alaya Simon Bussy Stéphane Gaïffas Agathe Guilloux 31 30 0 24 Mar 2017
Sparse Poisson Regression with Penalized Weighted Score Function Jinzhu Jia Fang Xie Lihu Xu 31 16 0 11 Mar 2017
Improved bounds for Square-Root Lasso and Square-Root Slope A. Derumigny 25 26 0 08 Mar 2017
Approximate $l_0$ -penalized estimation of piecewise-constant signals on graphs Z. Fan Leying Guan 29 21 0 04 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables A. Belloni Victor Chernozhukov A. Kaul 31 18 0 01 Mar 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits Lihong Li Yu Lu Dengyong Zhou 15 94 0 28 Feb 2017
Minimax density estimation for growing dimension D. McDonald 76 11 0 28 Feb 2017
Towards the study of least squares estimators with convex penalty Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 30 11 0 31 Jan 2017
Sparse Sliced Inverse Regression Via Lasso Q. Lin Zhigen Zhao Jun S. Liu 49 81 0 21 Nov 2016
Errors-in-variables models with dependent measurements M. Rudelson Shuheng Zhou 31 16 0 15 Nov 2016
Dynamic Pricing in High-dimensions Adel Javanmard Hamid Nazerzadeh 69 136 0 24 Sep 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 15 1 0 22 Sep 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 33 15 0 06 Aug 2016
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 31 24 0 01 Aug 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 40 117 0 22 Jul 2016
Structure-Blind Signal Recovery D. Ostrovsky Zaïd Harchaoui A. Juditsky A. Nemirovski 18 3 0 19 Jul 2016
Variable selection and structure identification for varying coefficient Cox models Toshio Honda Ryota Yabe 27 9 0 19 Jul 2016
Minimum Description Length Principle in Supervised Learning with Application to Lasso Masanori Kawakita J. Takeuchi 18 5 0 11 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 7 0 01 Jul 2016
High-dimensional changepoint estimation via sparse projection Tengyao Wang R. Samworth AI4TS 29 229 0 20 Jun 2016
Structured Stochastic Linear Bandits Nicholas Johnson V. Sivakumar A. Banerjee 18 11 0 17 Jun 2016
The use of deep learning in image segmentation, classification and detection Mihai-Sorin Badea Iulian-Ionut Felea L. Florea C. Vertan 39 41 0 31 May 2016
Asymptotic properties for combined $L_1$ and concave regularization Yingying Fan Jinchi Lv 29 30 0 11 May 2016
Asymptotic equivalence of regularization methods in thresholded parameter space Yingying Fan Jinchi Lv 23 54 0 11 May 2016
High dimensional thresholded regression and shrinkage effect Zemin Zheng Yingying Fan Jinchi Lv 16 69 0 11 May 2016
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 27 80 0 07 May 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 35 387 0 25 Apr 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo R. Tibshirani Larry A. Wasserman 26 814 0 14 Apr 2016
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 28 118 0 16 Mar 2016