Sharp Asymptotics and Optimal Performance for Inference in Binary Models

17 February 2020

Papers citing "Sharp Asymptotics and Optimal Performance for Inference in Binary Models"

28 / 28 papers shown

Title
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 82 146 0 13 Nov 2019
Sharp Guarantees for Solving Random Equations with One-Bit Information Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis 39 7 0 12 Aug 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing Zhiqi Bu Jason M. Klusowski Cynthia Rush Weijie Su 53 43 0 17 Jul 2019
The Impact of Regularization on High-dimensional Logistic Regression Fariborz Salehi Ehsan Abbasi B. Hassibi 93 103 0 10 Jun 2019
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 70 47 0 25 Mar 2019
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning Léo Miolane Andrea Montanari 78 93 0 03 Nov 2018
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization Christos Thrampoulidis A. S. Rawat MQ 57 30 0 18 Jul 2018
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 53 140 0 25 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 51 288 0 19 Mar 2018
Structured signal recovery from non-linear and heavy-tailed measurements L. Goldstein Stanislav Minsker Xiaohan Wei 76 46 0 05 Sep 2016
Overcoming The Limitations of Phase Transition by Higher Order Analysis of Regularization Techniques Haolei Weng A. Maleki Le Zheng 55 31 0 23 Mar 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 411 45 0 10 Feb 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 180 220 0 23 Jan 2016
Statistical Mechanics of High-Dimensional Inference Madhu S. Advani Surya Ganguli 76 53 0 18 Jan 2016
Universality laws for randomized dimension reduction, with applications Samet Oymak J. Tropp 79 109 0 30 Nov 2015
Consistent Parameter Estimation for LASSO and Approximate Message Passing Ali Mousavi A. Maleki Richard G. Baraniuk 48 59 0 03 Nov 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 97 116 0 06 Jun 2015
The generalized Lasso with non-linear observations Y. Plan Roman Vershynin 182 199 0 13 Feb 2015
Convex recovery of a structured signal from independent random linear measurements J. Tropp 115 176 0 05 May 2014
Asymptotic behavior of unregularized and ridge-regularized high-dimensional robust regression estimators : rigorous results N. Karoui 86 109 0 11 Nov 2013
The Squared-Error of Generalized LASSO: A Precise Analysis Samet Oymak Christos Thrampoulidis B. Hassibi 130 131 0 04 Nov 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing D. Donoho Andrea Montanari 213 221 0 28 Oct 2013
A framework to characterize performance of LASSO algorithms M. Stojnic 265 128 0 29 Mar 2013
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y. Plan Roman Vershynin 233 457 0 06 Feb 2012
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 203 1,338 0 03 Dec 2010
The LASSO risk for gaussian matrices Mohsen Bayati Andrea Montanari 186 318 0 16 Aug 2010
The Noise-Sensitivity Phase Transition in Compressed Sensing D. Donoho A. Maleki Andrea Montanari 89 383 0 08 Apr 2010
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 104 2,356 0 21 Jul 2009