A new perspective on least squares under convex constraint

4 February 2014

Papers citing "A new perspective on least squares under convex constraint"

25 / 25 papers shown

Title
On the Concentration of the Minimizers of Empirical Risks Paul Escande 23 2 0 03 Apr 2023
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints Q. Han B. Sen Yandi Shen 20 3 0 07 Oct 2020
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 9 13 0 25 Jun 2018
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 15 138 0 25 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 23 285 0 19 Mar 2018
Finite sample improvement of Akaike's Information Criterion Adrien Saumard F. Navarro 6 3 0 06 Mar 2018
$On $\varepsilon$-Admissibility in High Dimension and Nonparametrics$ On $\varepsilon$ -Admissibility in High Dimension and Nonparametrics Keisuke Yano F. Komaki 11 0 0 12 Aug 2017
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates Sivaraman Balakrishnan Larry A. Wasserman 11 50 0 30 Jun 2017
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 15 44 0 07 Jun 2017
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii Yuting Wei Martin J. Wainwright Adityanand Guntuboyina 18 21 0 20 Mar 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering Adityanand Guntuboyina Donovan Lieu S. Chatterjee B. Sen 18 47 0 16 Feb 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 23 59 0 05 Feb 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 31 108 0 03 Nov 2016
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 31 24 0 01 Aug 2016
Optimal Rates of Statistical Seriation Nicolas Flammarion Cheng Mao Philippe Rigollet 10 59 0 08 Jul 2016
On optimality of empirical risk minimization in linear aggregation Adrien Saumard 16 21 0 11 May 2016
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 19 80 0 07 May 2016
Multivariate convex regression: global risk bounds and adaptation Q. Han J. Wellner 18 48 0 25 Jan 2016
A Geometric View on Constrained M-Estimators Yen-Huan Li Ya-Ping Hsieh N. Zerbib V. Cevher 19 6 0 26 Jun 2015
On matrix estimation under monotonicity constraints S. Chatterjee Adityanand Guntuboyina B. Sen 16 60 0 10 Jun 2015
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases F. Navarro Adrien Saumard 16 16 0 21 May 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
Gaussian Phase Transitions and Conic Intrinsic Volumes: Steining the Steiner Formula L. Goldstein I. Nourdin G. Peccati 16 36 0 23 Nov 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 44 27 0 17 Apr 2014
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008