A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers

13 October 2010

Papers citing "A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers"

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Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 21 0 0 14 May 2025
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 33 0 0 05 Apr 2025
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 42 1 0 17 Oct 2024
Transfer Learning for Spatial Autoregressive Models Hao Zeng Wei Zhong Xingbai Xu 36 0 0 20 May 2024
Sparse Linear Regression and Lattice Problems A. Gupte Neekon Vafa Vinod Vaikuntanathan 30 1 0 22 Feb 2024
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models Tianyu Liu Somabha Mukherjee 26 0 0 20 Oct 2023
High-dimensional Multi-class Classification with Presence-only Data Lili Zheng Garvesh Raskutti 27 1 0 18 Apr 2023
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators Hang Zhang Ping Li 20 6 0 20 Mar 2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning T. Tony Cai Yichen Wang Linjun Zhang 46 16 0 13 Mar 2023
Two-sided Matrix Regression Nayel Bettache C. Butucea 33 0 0 08 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 27 4 0 22 Feb 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 24 1 0 17 Jan 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan P. Li 34 2 0 09 Jan 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 29 7 0 30 Dec 2022
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 28 12 0 30 Dec 2022
Always Valid Risk Monitoring for Online Matrix Completion ChiHua Wang Wenjie Li CLL 32 1 0 18 Nov 2022
The non-overlapping statistical approximation to overlapping group lasso Mingyu Qi Tianxi Li 18 1 0 16 Nov 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 57 4 0 19 Sep 2022
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 28 73 0 12 Sep 2022
A Unified Framework for Estimation of High-dimensional Conditional Factor Models Qihui Chen 29 1 0 01 Sep 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 43 3 0 10 Aug 2022
On the Impact of Serial Dependence on Penalized Regression Methods Simone Tonini Francesca Chiaromonte A. Giovannelli 31 0 0 01 Aug 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 23 5 0 09 Jun 2022
High-dimensional nonconvex lasso-type $M$ -estimators Jad Beyhum Franccois Portier 30 0 0 12 Apr 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 37 12 0 17 Mar 2022
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss Junren Chen Michael Kwok-Po Ng 16 20 0 04 Feb 2022
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net Yujia Ding Qidi Peng Zhengming Song Hansen Chen 48 6 0 14 Dec 2021
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis Peili Li Yuling Jiao Xiliang Lu Lican Kang 33 2 0 21 Nov 2021
Distributed Sparse Regression via Penalization Yao Ji G. Scutari Ying Sun Harsha Honnappa 22 5 0 12 Nov 2021
On Model Selection Consistency of Lasso for High-Dimensional Ising Models Xiangming Meng T. Obuchi Y. Kabashima 30 1 0 16 Oct 2021
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs Harish Doddi Deepjyoti Deka Saurav Talukdar M. Salapaka 34 6 0 02 Oct 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 29 56 0 12 Sep 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 36 3 0 07 Jul 2021
Multiple Change Point Detection in Structured VAR Models: the VARDetect R Package Peiliang Bai Yue Bai Abolfazl Safikhani George Michailidis 34 1 0 23 May 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani 33 6 0 18 Apr 2021
$Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis$ Ising Model Selection Using $\ell_{1}$ -Regularized Linear Regression: A Statistical Mechanics Analysis Xiangming Meng T. Obuchi Y. Kabashima 33 4 0 08 Feb 2021
Reconstruction of Sparse Signals under Gaussian Noise and Saturation Shuvayan Banerjee Radhendushka Srivastava Ajit V. Rajwade 14 1 0 08 Feb 2021
The Nonconvex Geometry of Linear Inverse Problems Armin Eftekhari Peyman Mohajerin Esfahani 26 1 0 07 Jan 2021
Matrix optimization based Euclidean embedding with outliers Qian Zhang Xinyuan Zhao Chao Ding 36 2 0 23 Dec 2020
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds T. Tony Cai Yichen Wang Linjun Zhang FedML 43 20 0 08 Nov 2020
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 40 28 0 22 Oct 2020
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples S. Fattahi 13 14 0 08 Oct 2020
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 42 63 0 27 Jul 2020
A likelihood-based approach for multivariate categorical response regression in high dimensions Aaron J. Molstad Adam J. Rothman 11 6 0 15 Jul 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
High-Dimensional Granger Causality Tests with an Application to VIX and News Andrii Babii Eric Ghysels Jonas Striaukas 27 100 0 13 Dec 2019
Direct Estimation of Differential Functional Graphical Models Boxin Zhao Y Samuel Wang Mladen Kolar 21 15 0 22 Oct 2019
Does SLOPE outperform bridge regression? Shuaiwen Wang Haolei Weng A. Maleki 15 19 0 20 Sep 2019
On rank estimators in increasing dimensions Yanqin Fan Fang Han Wei Li Xiao‐Hua Zhou 25 16 0 14 Aug 2019
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 43 35 0 10 Aug 2019