Simultaneous analysis of Lasso and Dantzig selector

7 January 2008

Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

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Title
Semi-Random Sparse Recovery in Nearly-Linear Time Jonathan A. Kelner Jungshian Li Allen Liu Aaron Sidford Kevin Tian 20 14 0 08 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 47 29 0 25 Feb 2022
High-dimensional Inference and FDR Control for Simulated Markov Random Fields Haoyu Wei Xiaoyu Lei Yixin Han Huiming Zhang 17 0 0 11 Feb 2022
Efficient learning of hidden state LTI state space models of unknown order Boualem Djehiche Othmane Mazhar 11 8 0 03 Feb 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 30 6 0 01 Feb 2022
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs Jacqueline Wentz Alireza Doostan 24 1 0 31 Jan 2022
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective Saptarshi Roy Ambuj Tewari Ziwei Zhu 11 4 0 05 Jan 2022
Supervised Homogeneity Fusion: a Combinatorial Approach Wen Wang Shihao Wu Ziwei Zhu Ling Zhou P. Song 19 1 0 04 Jan 2022
Multitask Learning and Bandits via Robust Statistics Kan Xu Hamsa Bastani 35 5 0 28 Dec 2021
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction Yiyuan She Jiahui Shen Chao Zhang 11 5 0 17 Dec 2021
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning Yiyuan She Zhifeng Wang Jiuwu Jin 19 7 0 16 Dec 2021
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net Yujia Ding Qidi Peng Zhengming Song Hansen Chen 46 6 0 14 Dec 2021
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression Lijia Zhou Frederic Koehler Danica J. Sutherland Nathan Srebro 95 24 0 08 Dec 2021
Rank-Constrained Least-Squares: Prediction and Inference Michael Law Yaácov Ritov Ruixiang Zhang Ziwei Zhu 21 1 0 29 Nov 2021
High-dimensional inference via hybrid orthogonalization Yang Li Zemin Zheng Jia Zhou Ziwei Zhu 22 1 0 26 Nov 2021
Distributed Sparse Regression via Penalization Yao Ji G. Scutari Ying Sun Harsha Honnappa 22 5 0 12 Nov 2021
Sliding window strategy for convolutional spike sorting with Lasso : Algorithm, theoretical guarantees and complexity Laurent Dragoni Rémi Flamary Karim Lounici Patricia Reynaud-Bouret 12 0 0 29 Oct 2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors Wanjun Liu Xiufan Yu Runze Li 22 13 0 29 Oct 2021
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches Shaogao Lv Xin He Junhui Wang 24 1 0 18 Oct 2021
Coherence of high-dimensional random matrices in a Gaussian case : application of the Chen-Stein method M. Boucher D. Chauveau M. Zani 8 0 0 13 Oct 2021
High-Dimensional Varying Coefficient Models with Functional Random Effects Michael Law Yaácov Ritov 18 0 0 13 Oct 2021
Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations Shaomin Li Haoyu Wei Xiaoyu Lei 29 5 0 07 Oct 2021
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SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models Prabrisha Rakshit Zhenyu Wang T. Tony Cai Zijian Guo 14 6 0 07 Sep 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 29 71 0 06 Sep 2021
Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements Corinne Emmenegger Peter Buhlmann 11 4 0 31 Aug 2021
Survival Analysis with Graph-Based Regularization for Predictors Liyan Xie Xi He P. Keskinocak Yao Xie 19 0 0 29 Aug 2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 22 45 0 27 Aug 2021
$Non-Asymptotic Bounds for the $\ell_{\infty}$ Estimator in Linear Regression with Uniform Noise$ Non-Asymptotic Bounds for the $\ell_{\infty}$ Estimator in Linear Regression with Uniform Noise Yufei Yi Matey Neykov 16 4 0 17 Aug 2021
Culling the herd of moments with penalized empirical likelihood Jinyuan Chang Zhentao Shi Jia Zhang 33 4 0 07 Aug 2021
Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data Hanno Reuvers Etienne Wijler 11 2 0 05 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 322 0 03 Aug 2021
Semiparametric Estimation of Long-Term Treatment Effects Jiafeng Chen David M. Ritzwoller 30 19 0 30 Jul 2021
A note on sharp oracle bounds for Slope and Lasso Zhiyong Zhou 28 0 0 23 Jul 2021
Recovering lost and absent information in temporal networks James P. Bagrow Sune Lehmann 22 1 0 22 Jul 2021
Chi-square and normal inference in high-dimensional multi-task regression Pierre C. Bellec Gabriel Romon 32 3 0 16 Jul 2021
Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations Xin Bing F. Bunea Seth Strimas-Mackey M. Wegkamp 11 5 0 12 Jul 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 28 3 0 07 Jul 2021
A provable two-stage algorithm for penalized hazards regression Jianqing Fan Wenyan Gong Qiang Sun 16 1 0 06 Jul 2021
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Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Minimax Estimation of Partially-Observed Vector AutoRegressions Guillaume Dalle Yohann De Castro 19 0 0 17 Jun 2021
On the Power of Preconditioning in Sparse Linear Regression Jonathan A. Kelner Frederic Koehler Raghu Meka Dhruv Rohatgi 16 15 0 17 Jun 2021
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Ultra High Dimensional Change Point Detection Xin Liu Liwen Zhang Zhen Zhang 27 0 0 09 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 26 39 0 07 Jun 2021
Transfer Learning under High-dimensional Generalized Linear Models Ye Tian Yang Feng 29 117 0 29 May 2021
Learning Generative Prior with Latent Space Sparsity Constraints Vinayak Killedar P. Pokala C. Seelamantula 16 3 0 25 May 2021
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