Methods › General › Generalized Linear Models › Linear Regression › Papers, page 17
Linear Regression
Papers archive 2025-07-28
archive papers tagged: 1,657 · with a code link: 323 · where Syntology ran a sample: 50 (39 with a run with no instrument failure, 11 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (50 of 1,657 tagged: 39 with a run with no instrument failure, 11 where every run was a failure of Syntology's instrument)
Page 17 of 17: papers 1,601 to 1,657 of 1,657, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Minimax Optimal Sparse Signal Recovery with Poisson Statistics 21 Jan 2015 · 0 repositories · arXiv:1501.05200
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Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries 20 Jan 2015 · 0 repositories · arXiv:1501.04819
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Implementable confidence sets in high dimensional regression 19 Jan 2015 · 0 repositories · arXiv:1501.04467
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HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing 8 Dec 2014 · 0 repositories · arXiv:1412.2684
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Distributed Bayesian Posterior Sampling via Moment Sharing 1 Dec 2014 · 0 repositories
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On Sparse Gaussian Chain Graph Models 1 Dec 2014 · 0 repositories
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Sparse Bayesian structure learning with “dependent relevance determination” priors 1 Dec 2014 · 0 repositories
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Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry 20 Nov 2014 · 1 repository · arXiv:1411.5417
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Multivariate response and parsimony for Gaussian cluster-weighted models 3 Nov 2014 · 0 repositories · arXiv:1411.0560
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Population Empirical Bayes 2 Nov 2014 · 1 repository · arXiv:1411.0292
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On Iterative Hard Thresholding Methods for High-dimensional M-Estimation 20 Oct 2014 · 0 repositories · arXiv:1410.5137
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Augmented Neural Networks for Modelling Consumer Indebtness 3 Sep 2014 · 0 repositories · arXiv:1409.1057
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Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform 27 Aug 2014 · 0 repositories · arXiv:1408.6515
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Statistical guarantees for the EM algorithm: From population to sample-based analysis 9 Aug 2014 · 0 repositories · arXiv:1408.2156
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RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization 13 Jun 2014 · 0 repositories · arXiv:1406.4445
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Discriminative Functional Connectivity Measures for Brain Decoding 23 Feb 2014 · 0 repositories · arXiv:1402.5684
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Retrieval of Experiments by Efficient Estimation of Marginal Likelihood 19 Feb 2014 · 0 repositories · arXiv:1402.4653
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Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation 17 Jan 2014 · 0 repositories · arXiv:1401.4425
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Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods 14 Jan 2014 · 0 repositories · arXiv:1401.3069
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Inference in High Dimensions with the Penalized Score Test 12 Jan 2014 · 0 repositories · arXiv:1401.2678
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Learning optimization models in the presence of unknown relations 6 Jan 2014 · 0 repositories · arXiv:1401.1061
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Unsupervised Discovery of Biographical Structure from Text 1 Jan 2014 · 0 repositories
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Modèle à processus latent et algorithme EM pour la régression non linéaire 25 Dec 2013 · 0 repositories · arXiv:1312.6978
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Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time 25 Dec 2013 · 0 repositories · arXiv:1312.7003
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Performance Analysis Of Regularized Linear Regression Models For Oxazolines And Oxazoles Derivitive Descriptor Dataset 10 Dec 2013 · 0 repositories · arXiv:1312.2789
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Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements 5 Dec 2013 · 0 repositories · arXiv:1312.1706
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Information-theoretic lower bounds for distributed statistical estimation with communication constraints 1 Dec 2013 · 0 repositories
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A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees 25 Nov 2013 · 0 repositories · arXiv:1311.6392
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When Does More Regularization Imply Fewer Degrees of Freedom? Sufficient Conditions and Counter Examples from Lasso and Ridge Regression 12 Nov 2013 · 0 repositories · arXiv:1311.2791
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Regularization of ℓ₁ minimization for dealing with outliers and noise in Statistics and Signal Recovery 28 Oct 2013 · 0 repositories · arXiv:1310.7637
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Alternating Minimization for Mixed Linear Regression 14 Oct 2013 · 0 repositories · arXiv:1310.3745
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Linear Regression from Strategic Data Sources 30 Sep 2013 · 1 repository · arXiv:1309.7824
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Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models 14 Aug 2013 · 0 repositories · arXiv:1308.3201
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Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso 30 Jul 2013 · 0 repositories · arXiv:1307.7993
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Loss minimization and parameter estimation with heavy tails 7 Jul 2013 · 0 repositories · arXiv:1307.1827
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A Statistical Perspective on Algorithmic Leveraging 23 Jun 2013 · 0 repositories · arXiv:1306.5362
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Spectral Experts for Estimating Mixtures of Linear Regressions 17 Jun 2013 · 0 repositories · arXiv:1306.3729
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Confidence Intervals and Hypothesis Testing for High-Dimensional Regression 13 Jun 2013 · 0 repositories · arXiv:1306.3171
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Analytic Feature Selection for Support Vector Machines 20 Apr 2013 · 0 repositories · arXiv:1304.5678
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Distributed dictionary learning over a sensor network 12 Apr 2013 · 0 repositories · arXiv:1304.3568
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Feature Multi-Selection among Subjective Features 18 Feb 2013 · 0 repositories · arXiv:1302.4297
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Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory 17 Jan 2013 · 0 repositories · arXiv:1301.4240
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Optimal classification in sparse Gaussian graphic model 21 Dec 2012 · 0 repositories · arXiv:1212.5332
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Fixed-rank matrix factorizations and Riemannian low-rank optimization 3 Sep 2012 · 0 repositories · arXiv:1209.0430
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Optimality of Graphlet Screening in High Dimensional Variable Selection 29 Apr 2012 · 0 repositories · arXiv:1204.6452
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Adaptive and optimal online linear regression on ℓ¹-balls 20 May 2011 · 0 repositories · arXiv:1105.4042
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Sparsity regret bounds for individual sequences in online linear regression 5 Jan 2011 · 0 repositories · arXiv:1101.1057
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A Dirty Model for Multi-task Learning 1 Dec 2010 · 0 repositories
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A Family of Penalty Functions for Structured Sparsity 1 Dec 2010 · 0 repositories
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Fast global convergence rates of gradient methods for high-dimensional statistical recovery 1 Dec 2010 · 0 repositories
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Parametric Bandits: The Generalized Linear Case 1 Dec 2010 · 0 repositories
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Directed Regression 1 Dec 2009 · 0 repositories
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Heterogeneous multitask learning with joint sparsity constraints 1 Dec 2009 · 0 repositories
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Modeling human function learning with Gaussian processes 1 Dec 2008 · 0 repositories
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Phase transitions for high-dimensional joint support recovery 1 Dec 2008 · 0 repositories
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Bolasso: model consistent Lasso estimation through the bootstrap 8 Apr 2008 · 2 repositories · arXiv:0804.1302
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Online Linear Regression and Its Application to Model-Based Reinforcement Learning 1 Dec 2007 · 0 repositories