v1v2 (latest)

Nonparametric Shape-restricted Regression

17 September 2017

Papers citing "Nonparametric Shape-restricted Regression"

44 / 44 papers shown

Title
Nonparametric Learning of Two-Layer ReLU Residual Units Zhunxuan Wang Linyun He Chunchuan Lyu Shay B. Cohen MLT OffRL 191 1 0 17 Aug 2020
Isotonic regression in general dimensions Q. Han Tengyao Wang S. Chatterjee R. Samworth 46 98 0 30 Aug 2017
On the risk of convex-constrained least squares estimators under misspecification Billy Fang Adityanand Guntuboyina 23 5 0 13 Jun 2017
Contraction and uniform convergence of isotonic regression Fan Yang Rina Foygel Barber 49 32 0 06 Jun 2017
On Estimation of Isotonic Piecewise Constant Signals Chao Gao Fang Han Cun-Hui Zhang 33 32 0 18 May 2017
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii Yuting Wei Martin J. Wainwright Adityanand Guntuboyina 77 21 0 20 Mar 2017
A note on the approximate admissibility of regularized estimators in the Gaussian sequence model Xi Chen Adityanand Guntuboyina Yuchen Zhang 57 8 0 01 Mar 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering Adityanand Guntuboyina Donovan Lieu S. Chatterjee B. Sen 65 67 0 16 Feb 2017
Univariate log-concave density estimation with symmetry or modal constraints Charles R. Doss J. Wellner 38 13 0 30 Nov 2016
Confidence intervals for the current status model P. Groeneboom K. Hendrickx 32 9 0 24 Nov 2016
Least squares estimation in the monotone single index model F. Balabdaoui C. Durot H. Jankowski 75 45 0 19 Oct 2016
On Univariate Convex Regression Promit Ghosal B. Sen 30 16 0 15 Aug 2016
Optimal Rates of Statistical Seriation Nicolas Flammarion Cheng Mao Philippe Rigollet 149 60 0 08 Jul 2016
On Estimation in Tournaments and Graphs under Monotonicity Constraints S. Chatterjee Soumendu Sundar Mukherjee 141 29 0 15 Mar 2016
Denoising Flows on Trees S. Chatterjee John D. Lafferty 28 2 0 25 Feb 2016
Current status linear regression P. Groeneboom K. Hendrickx 32 48 0 02 Jan 2016
An Improved Global Risk Bound in Concave Regression S. Chatterjee 21 10 0 15 Dec 2015
Adaptive Risk Bounds in Unimodal Regression S. Chatterjee John D. Lafferty 65 36 0 09 Dec 2015
On concentration for (regularized) empirical risk minimization Sara van de Geer Martin J. Wainwright 46 26 0 02 Dec 2015
Sharp oracle inequalities for Least Squares estimators in shape restricted regression Pierre C. Bellec 76 96 0 27 Oct 2015
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues Nihar B. Shah Sivaraman Balakrishnan Adityanand Guntuboyina Martin J. Wainwright 197 147 0 19 Oct 2015
A Computational Framework for Multivariate Convex Regression and its Variants Rahul Mazumder Arkopal Choudhury G. Iyengar B. Sen 146 82 0 28 Sep 2015
$Fast, Provable Algorithms for Isotonic Regression in all $\ell_{p}$-norms$ Fast, Provable Algorithms for Isotonic Regression in all $\ell_{p}$ -norms Rasmus Kyng Anup B. Rao Sushant Sachdeva 77 47 0 02 Jul 2015
On matrix estimation under monotonicity constraints S. Chatterjee Adityanand Guntuboyina B. Sen 98 60 0 10 Jun 2015
Nonparametric confidence intervals for monotone functions P. Groeneboom G. Jongbloed 72 30 0 13 Jul 2014
Generalised additive and index models with shape constraints Yining Chen R. Samworth 70 82 0 10 Apr 2014
A new perspective on least squares under convex constraint S. Chatterjee 133 117 0 04 Feb 2014
Inference for Monotone Trends Under Dependence Pramita Bagchi Moulinath Banerjee Stilian A. Stoev 60 11 0 13 Jan 2014
Optimal Confidence Bands for Shape-Restricted Curves L. Duembgen 103 66 0 23 Dec 2013
On risk bounds in isotonic and other shape restricted regression problems S. Chatterjee Adityanand Guntuboyina B. Sen 82 138 0 15 Nov 2013
Global risk bounds and adaptation in univariate convex regression Adityanand Guntuboyina B. Sen 88 81 0 07 May 2013
Bootstrap confidence intervals for isotonic estimators in a stereological problem B. Sen Michael Woodroofe 27 11 0 23 Nov 2012
The EFM approach for single-index models Xia Cui W. Hardle Lixing Zhu 56 169 0 22 Nov 2012
Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization M. Slawski Matthias Hein 117 186 0 04 May 2012
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression Sham Kakade Adam Tauman Kalai Varun Kanade Ohad Shamir 198 180 0 11 Apr 2011
Inconsistency of bootstrap: The Grenander estimator B. Sen Moulinath Banerjee Michael Woodroofe 89 110 0 19 Oct 2010
Nonparametric Least Squares Estimation of a Multivariate Convex Regression Function E. Seijo B. Sen 102 165 0 24 Mar 2010
Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model P. Groeneboom G. Jongbloed B. Witte 78 71 0 12 Jan 2010
Estimating a concave distribution function from data corrupted with additive noise G. Jongbloed Frank H. van der Meulen 126 12 0 01 Apr 2009
On the Grenander estimator at zero F. Balabdaoui H. Jankowski Marios G. Pavlides Arseni Seregin J. Wellner 86 31 0 25 Feb 2009
Bootstrapping the Grenander estimator Michael R. Kosorok 121 69 0 16 May 2008
Additive isotone regression E. Mammen Kyusang Yu 163 42 0 06 Sep 2007
Limit distribution theory for maximum likelihood estimation of a log-concave density F. Balabdaoui K. Rufibach J. Wellner 436 125 0 24 Aug 2007
Likelihood based inference for monotone response models Moulinath Banerjee 123 57 0 16 Aug 2007