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High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization

26 February 2022

Papers citing "High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization"

37 / 37 papers shown

Title
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 58 14 0 30 Dec 2022
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss Junren Chen Michael Kwok-Po Ng 55 20 0 04 Feb 2022
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data Lijie Hu Shuo Ni Hanshen Xiao Di Wang 91 53 0 23 Jul 2021
DRIVE: One-bit Distributed Mean Estimation S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher OOD FedML 124 55 0 18 May 2021
Covariance estimation under one-bit quantization S. Dirksen J. Maly Holger Rauhut MQ 59 21 0 02 Apr 2021
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations Martin Genzel A. Stollenwerk 43 6 0 19 Sep 2020
Deep Signal Recovery with One-Bit Quantization Shahin Khobahi Naveed Naimipour M. Soltanalian Yonina C. Eldar 85 56 0 30 Nov 2018
User-Friendly Covariance Estimation for Heavy-Tailed Distributions Y. Ke Stanislav Minsker Zhao Ren Qiang Sun Wen-Xin Zhou 53 57 0 05 Nov 2018
Robust high dimensional factor models with applications to statistical machine learning Jianqing Fan Kaizheng Wang Yiqiao Zhong Ziwei Zhu 66 55 0 12 Aug 2018
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization Christos Thrampoulidis A. S. Rawat MQ 65 30 0 18 Jul 2018
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation Yudong Chen Yuejie Chi 95 173 0 23 Feb 2018
signSGD: Compressed Optimisation for Non-Convex Problems Jeremy Bernstein Yu Wang Kamyar Azizzadenesheli Anima Anandkumar FedML ODL 101 1,050 0 13 Feb 2018
Adaptive Huber Regression Qiang Sun Wen-Xin Zhou Jianqing Fan 162 281 0 21 Jun 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,649 0 18 Oct 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 78 99 0 28 Mar 2016
The generalized Lasso with non-linear observations Y. Plan Roman Vershynin 192 200 0 13 Feb 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 168 1,154 0 07 Jan 2015
Robust Matrix Completion Olga Klopp Karim Lounici Alexandre B. Tsybakov 66 124 0 28 Dec 2014
Probabilistic low-rank matrix completion on finite alphabets Jean Lafond Olga Klopp Eric Moulines Joseph Salmon 79 38 0 08 Dec 2014
Adaptive Multinomial Matrix Completion Olga Klopp Jean Lafond Eric Moulines Joseph Salmon 66 40 0 26 Aug 2014
Exponential decay of reconstruction error from binary measurements of sparse signals Richard Baraniuk S. Foucart Deanna Needell Y. Plan Mary Wootters MQ 75 119 0 31 Jul 2014
One-bit compressive sensing with norm estimation Karin C. Knudson Rayan Saab Rachel A. Ward 80 156 0 28 Apr 2014
High-dimensional estimation with geometric constraints Y. Plan Roman Vershynin E. Yudovina 169 144 0 14 Apr 2014
Regularized estimation in sparse high-dimensional time series models Sumanta Basu George Michailidis AI4TS 116 426 0 17 Nov 2013
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion Tony Cai Wen-Xin Zhou 86 132 0 24 Sep 2013
Optimal rates of convergence for sparse covariance matrix estimation T. Cai Harrison H. Zhou 148 246 0 13 Feb 2013
1-Bit Matrix Completion Mark A. Davenport Y. Plan E. Berg Mary Wootters 215 353 0 17 Sep 2012
Noisy low-rank matrix completion with general sampling distribution Olga Klopp 114 206 0 01 Mar 2012
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y. Plan Roman Vershynin 242 457 0 06 Feb 2012
Nuclear norm penalization and optimal rates for noisy low rank matrix completion V. Koltchinskii Alexandre B. Tsybakov Karim Lounici 226 664 0 29 Nov 2010
Optimal rates of convergence for covariance matrix estimation Tommaso Cai Cun-Hui Zhang Harrison H. Zhou 164 474 0 19 Oct 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 474 1,379 0 13 Oct 2010
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise S. Negahban Martin J. Wainwright 199 522 0 10 Sep 2010
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 232 570 0 27 Dec 2009
$Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls$ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$ -balls Garvesh Raskutti Martin J. Wainwright Bin Yu 220 575 0 11 Oct 2009
Operator norm consistent estimation of large-dimensional sparse covariance matrices N. Karoui 207 397 0 21 Jan 2009
Covariance regularization by thresholding Peter J. Bickel Elizaveta Levina 204 1,273 0 20 Jan 2009