Browse State-of-the-Art › regression › Papers, page 94
regression
Papers archive 2025-07-28
archive papers tagged: 9,424 · with a code link: 2,445 · where Syntology ran a sample: 449 (374 with a run with no instrument failure, 75 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (449 of 9,424 tagged: 374 with a run with no instrument failure, 75 where every run was a failure of Syntology's instrument)
Page 94 of 95: papers 9,301 to 9,400 of 9,424, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “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 figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. 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); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data21 Sep 2012 0 repositories listed
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Regression trees for longitudinal and multiresponse data21 Sep 2012 0 repositories listed
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Comunication-Efficient Algorithms for Statistical Optimization19 Sep 2012 0 repositories listed
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Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors10 Sep 2012 0 repositories listed
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Consistent selection of tuning parameters via variable selection stability16 Aug 2012 0 repositories listed
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Sharp analysis of low-rank kernel matrix approximations9 Aug 2012 0 repositories listed
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Gaussian process regression as a predictive model for Quality-of-Service in Web service systems30 Jul 2012 0 repositories listed
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The Fast Cauchy Transform and Faster Robust Linear Regression19 Jul 2012 0 repositories listed
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A Regression-based Approach to Modeling Addressee Backchannels1 Jul 2012 0 repositories listed
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DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets1 Jul 2012 0 repositories listed
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Probabilistic Finite State Machines for Regression-based MT Evaluation1 Jul 2012 0 repositories listed
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UNITOR: Combining Semantic Text Similarity functions through SV Regression1 Jul 2012 0 repositories listed
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A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound27 Jun 2012 0 repositories listed
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Improved Information Gain Estimates for Decision Tree Induction18 Jun 2012 0 repositories listed
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Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results5 Jun 2012 0 repositories listed
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Regression with Phrase Indicators for Estimating MT Quality1 Jun 2012 0 repositories listed
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Tuning as Linear Regression1 Jun 2012 0 repositories listed
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A Generalized Kernel Approach to Structured Output Learning10 May 2012 0 repositories listed
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On Power-law Kernels, corresponding Reproducing Kernel Hilbert Space and Applications9 Apr 2012 0 repositories listed
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A Multi-objective Exploratory Procedure for Regression Model Selection28 Mar 2012 0 repositories listed
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Algorithms for Learning Kernels Based on Centered Alignment2 Mar 2012 0 repositories listed
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Near-optimal Coresets For Least-Squares Regression16 Feb 2012 0 repositories listed
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Lossy Compression via Sparse Linear Regression: Performance under Minimum-distance Encoding3 Feb 2012 0 repositories listed
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Kernels on Sample Sets via Nonparametric Divergence Estimates1 Feb 2012 0 repositories listed
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Continuous-Time Regression Models for Longitudinal Networks1 Dec 2011 0 repositories listed
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Convergent Fitted Value Iteration with Linear Function Approximation1 Dec 2011 0 repositories listed
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Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression1 Dec 2011 0 repositories listed
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Gaussian Process Training with Input Noise1 Dec 2011 0 repositories listed
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Generalized Beta Mixtures of Gaussians1 Dec 2011 0 repositories listed
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High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity1 Dec 2011 0 repositories listed
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k-NN Regression Adapts to Local Intrinsic Dimension1 Dec 2011 0 repositories listed
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Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors1 Dec 2011 0 repositories listed
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Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning1 Dec 2011 0 repositories listed
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Non-conjugate Variational Message Passing for Multinomial and Binary Regression1 Dec 2011 0 repositories listed
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On Causal Discovery with Cyclic Additive Noise Models1 Dec 2011 0 repositories listed
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Optimal learning rates for least squares SVMs using Gaussian kernels1 Dec 2011 0 repositories listed
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Projection onto A Nonnegative Max-Heap1 Dec 2011 0 repositories listed
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Regularized Laplacian Estimation and Fast Eigenvector Approximation1 Dec 2011 0 repositories listed
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Semi-supervised Regression via Parallel Field Regularization1 Dec 2011 0 repositories listed
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Sparse Bayesian Multi-Task Learning1 Dec 2011 0 repositories listed
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Sparse Features for PCA-Like Linear Regression1 Dec 2011 0 repositories listed
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Sparse recovery by thresholded non-negative least squares1 Dec 2011 0 repositories listed
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Statistical Tests for Optimization Efficiency1 Dec 2011 0 repositories listed
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Efficient Regression in Metric Spaces via Approximate Lipschitz Extension18 Nov 2011 0 repositories listed
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Regression for sets of polynomial equations20 Oct 2011 0 repositories listed
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Overlapping Mixtures of Gaussian Processes for the Data Association Problem16 Aug 2011 0 repositories listed
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Random design analysis of ridge regression13 Jun 2011 0 repositories listed
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Adaptive and optimal online linear regression on ℓ¹-balls20 May 2011 0 repositories listed
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A Risk Comparison of Ordinary Least Squares vs Ridge Regression4 May 2011 0 repositories listed
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Sparsity regret bounds for individual sequences in online linear regression5 Jan 2011 0 repositories listed
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Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection28 Dec 2010 0 repositories listed
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A Dirty Model for Multi-task Learning1 Dec 2010 0 repositories listed
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A Family of Penalty Functions for Structured Sparsity1 Dec 2010 0 repositories listed
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Adaptive Multi-Task Lasso: with Application to eQTL Detection1 Dec 2010 0 repositories listed
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Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference1 Dec 2010 0 repositories listed
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Decomposing Isotonic Regression for Efficiently Solving Large Problems1 Dec 2010 0 repositories listed
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Discriminative Clustering by Regularized Information Maximization1 Dec 2010 0 repositories listed
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Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization1 Dec 2010 0 repositories listed
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Exact learning curves for Gaussian process regression on large random graphs1 Dec 2010 0 repositories listed
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Fast global convergence rates of gradient methods for high-dimensional statistical recovery1 Dec 2010 0 repositories listed
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Graph-Valued Regression1 Dec 2010 0 repositories listed
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Heavy-Tailed Process Priors for Selective Shrinkage1 Dec 2010 0 repositories listed
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Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation1 Dec 2010 0 repositories listed
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Multivariate Dyadic Regression Trees for Sparse Learning Problems1 Dec 2010 0 repositories listed
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Optimal learning rates for Kernel Conjugate Gradient regression1 Dec 2010 0 repositories listed
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Penalized Principal Component Regression on Graphs for Analysis of Subnetworks1 Dec 2010 0 repositories listed
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Pose-Sensitive Embedding by Nonlinear NCA Regression1 Dec 2010 0 repositories listed
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Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression1 Dec 2010 0 repositories listed
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Relaxed Clipping: A Global Training Method for Robust Regression and Classification1 Dec 2010 0 repositories listed
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Scrambled Objects for Least-Squares Regression1 Dec 2010 0 repositories listed
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t-logistic regression1 Dec 2010 0 repositories listed
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Nuclear norm penalization and optimal rates for noisy low rank matrix completion29 Nov 2010 0 repositories listed
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Bregman Distance to L1 Regularized Logistic Regression21 Apr 2010 0 repositories listed
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Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity1 Dec 2009 0 repositories listed
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Compressed Least-Squares Regression1 Dec 2009 0 repositories listed
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Convex Relaxation of Mixture Regression with Efficient Algorithms1 Dec 2009 0 repositories listed
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Data-driven calibration of linear estimators with minimal penalties1 Dec 2009 0 repositories listed
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Directed Regression1 Dec 2009 0 repositories listed
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Distribution Matching for Transduction1 Dec 2009 0 repositories listed
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Ensemble Nystrom Method1 Dec 2009 0 repositories listed
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Fast, smooth and adaptive regression in metric spaces1 Dec 2009 0 repositories listed
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From PAC-Bayes Bounds to KL Regularization1 Dec 2009 0 repositories listed
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Gaussian process regression with Student-t likelihood1 Dec 2009 0 repositories listed
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Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes1 Dec 2009 0 repositories listed
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Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction1 Dec 2009 0 repositories listed
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Heterogeneous multitask learning with joint sparsity constraints1 Dec 2009 0 repositories listed
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Kernels and learning curves for Gaussian process regression on random graphs1 Dec 2009 0 repositories listed
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Lattice Regression1 Dec 2009 0 repositories listed
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Learning Non-Linear Combinations of Kernels1 Dec 2009 0 repositories listed
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Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness1 Dec 2009 0 repositories listed
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Manifold Regularization for SIR with Rate Root-n Convergence1 Dec 2009 0 repositories listed
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Nonparametric Greedy Algorithms for the Sparse Learning Problem1 Dec 2009 0 repositories listed
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Optimal Scoring for Unsupervised Learning1 Dec 2009 0 repositories listed
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Robust Nonparametric Regression with Metric-Space Valued Output1 Dec 2009 0 repositories listed
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Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction1 Dec 2009 0 repositories listed
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Structured output regression for detection with partial truncation1 Dec 2009 0 repositories listed
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Effectiveness and Limitations of Statistical Spam Filters14 Oct 2009 0 repositories listed
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Sparsistent Estimation of Time-Varying Discrete Markov Random Fields14 Jul 2009 0 repositories listed
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An Homotopy Algorithm for the Lasso with Online Observations1 Dec 2008 0 repositories listed
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Bayesian Kernel Shaping for Learning Control1 Dec 2008 0 repositories listed