Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference

14 November 2015

Tong Zhang

Papers citing "Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference"

23 / 23 papers shown

Title
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 135 25 0 23 Oct 2016
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow T. Tony Cai Xiaodong Li Zongming Ma 67 232 0 10 Jun 2015
The generalized Lasso with non-linear observations Y. Plan Roman Vershynin 137 199 0 13 Feb 2015
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators Po-Ling Loh 71 194 0 01 Jan 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 88 305 0 30 Dec 2014
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 125 169 0 17 Dec 2014
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression Y. Ning Tianqi Zhao Han Liu 75 35 0 06 Dec 2014
High-dimensional estimation with geometric constraints Y. Plan Roman Vershynin E. Yudovina 130 144 0 14 Apr 2014
Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data Cem Aksoylar Venkatesh Saligrama 54 5 0 12 Mar 2014
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 90 175 0 20 Jun 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 214 516 0 10 May 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 161 1,130 0 03 Mar 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 208 658 0 30 Jan 2013
Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming Henrik Ohlsson An Yang Roy Dong S. Shankar Sastry 102 140 0 28 Nov 2011
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems Cun-Hui Zhang Tong Zhang 144 340 0 25 Aug 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression Sham Kakade Adam Tauman Kalai Varun Kanade Ohad Shamir 144 180 0 11 Apr 2011
Sparse single-index model Pierre Alquier Gérard Biau 100 91 0 17 Jan 2011
Exponential Screening and optimal rates of sparse estimation Philippe Rigollet Alexandre B. Tsybakov 158 242 0 12 Mar 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade Ohad Shamir Karthik Sindharan Ambuj Tewari 200 77 0 31 Oct 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 172 575 0 11 Oct 2009
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 112 440 0 13 Nov 2008
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 295 869 0 07 Aug 2008
High-dimensional variable selection Larry Wasserman Kathryn Roeder 345 579 0 09 Apr 2007