Browse State-of-the-Art › regression › Papers, page 92
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 92 of 95: papers 9,101 to 9,200 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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Learning optimization models in the presence of unknown relations6 Jan 2014 0 repositories listed
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A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification30 Dec 2013 0 repositories listed
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Generalized Ambiguity Decomposition for Understanding Ensemble Diversity28 Dec 2013 0 repositories listed
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A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates25 Dec 2013 0 repositories listed
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A hidden process regression model for functional data description. Application to curve discrimination25 Dec 2013 0 repositories listed
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A regression model with a hidden logistic process for feature extraction from time series25 Dec 2013 0 repositories listed
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A regression model with a hidden logistic process for signal parametrization25 Dec 2013 0 repositories listed
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An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression25 Dec 2013 0 repositories listed
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Functional Mixture Discriminant Analysis with hidden process regression for curve classification25 Dec 2013 0 repositories listed
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Joint segmentation of multivariate time series with hidden process regression for human activity recognition25 Dec 2013 0 repositories listed
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Mixture model-based functional discriminant analysis for curve classification25 Dec 2013 0 repositories listed
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Model-based clustering with Hidden Markov Model regression for time series with regime changes25 Dec 2013 0 repositories listed
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Model-based functional mixture discriminant analysis with hidden process regression for curve classification25 Dec 2013 0 repositories listed
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Modèle à processus latent et algorithme EM pour la régression non linéaire25 Dec 2013 0 repositories listed
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Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation25 Dec 2013 0 repositories listed
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Robust EM algorithm for model-based curve clustering25 Dec 2013 0 repositories listed
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Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time25 Dec 2013 0 repositories listed
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Time series modeling by a regression approach based on a latent process25 Dec 2013 0 repositories listed
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Nonparametric Weight Initialization of Neural Networks via Integral Representation23 Dec 2013 0 repositories listed
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Growing Regression Forests by Classification: Applications to Object Pose Estimation22 Dec 2013 0 repositories listed
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Manifold regularized kernel logistic regression for web image annotation21 Dec 2013 0 repositories listed
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Perturbed Gibbs Samplers for Synthetic Data Release18 Dec 2013 0 repositories listed
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The Bernstein Function: A Unifying Framework of Nonconvex Penalization in Sparse Estimation17 Dec 2013 0 repositories listed
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13 Dec 2013 0 repositories listed
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Performance Analysis Of Regularized Linear Regression Models For Oxazolines And Oxazoles Derivitive Descriptor Dataset10 Dec 2013 0 repositories listed
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bartMachine: Machine Learning with Bayesian Additive Regression Trees8 Dec 2013 0 repositories listed
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Modeling Suspicious Email Detection using Enhanced Feature Selection6 Dec 2013 0 repositories listed
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Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements5 Dec 2013 0 repositories listed
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Families of Parsimonious Finite Mixtures of Regression Models2 Dec 2013 0 repositories listed
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Adaptivity to Local Smoothness and Dimension in Kernel Regression1 Dec 2013 0 repositories listed
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Approximate Gaussian process inference for the drift function in stochastic differential equations1 Dec 2013 0 repositories listed
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Deep Neural Networks for Object Detection1 Dec 2013 0 repositories listed
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Dirty Statistical Models1 Dec 2013 0 repositories listed
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Faster Ridge Regression via the Subsampled Randomized Hadamard Transform1 Dec 2013 0 repositories listed
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Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms1 Dec 2013 0 repositories listed
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Information-theoretic lower bounds for distributed statistical estimation with communication constraints1 Dec 2013 0 repositories listed
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Lexical and Hierarchical Topic Regression1 Dec 2013 0 repositories listed
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New Subsampling Algorithms for Fast Least Squares Regression1 Dec 2013 0 repositories listed
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PAC-Bayes-Empirical-Bernstein Inequality1 Dec 2013 0 repositories listed
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Parametric Task Learning1 Dec 2013 0 repositories listed
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Reconciling "priors" & "priors" without prejudice?1 Dec 2013 0 repositories listed
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Regression-tree Tuning in a Streaming Setting1 Dec 2013 0 repositories listed
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Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model1 Dec 2013 0 repositories listed
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Sketching Structured Matrices for Faster Nonlinear Regression1 Dec 2013 0 repositories listed
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Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression1 Dec 2013 0 repositories listed
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A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression26 Nov 2013 0 repositories listed
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A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees25 Nov 2013 0 repositories listed
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Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization22 Nov 2013 0 repositories listed
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A new adjusted maximum likelihood method for the Fay–Herriot small area model20 Nov 2013 0 repositories listed
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A Component Lasso18 Nov 2013 0 repositories listed
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Discriminative Density-ratio Estimation18 Nov 2013 0 repositories listed
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Signal Recovery from Pooling Representations16 Nov 2013 0 repositories listed
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When Does More Regularization Imply Fewer Degrees of Freedom? Sufficient Conditions and Counter Examples from Lasso and Ridge Regression12 Nov 2013 0 repositories listed
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Learning Mixtures of Linear Classifiers11 Nov 2013 0 repositories listed
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Fast Distribution To Real Regression10 Nov 2013 0 repositories listed
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Multivariate Generalized Gaussian Process Models2 Nov 2013 0 repositories listed
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Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression1 Nov 2013 0 repositories listed
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Regularization of ℓ₁ minimization for dealing with outliers and noise in Statistics and Signal Recovery28 Oct 2013 0 repositories listed
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Active Learning of Linear Embeddings for Gaussian Processes24 Oct 2013 0 repositories listed
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Efficient Optimization for Sparse Gaussian Process Regression22 Oct 2013 0 repositories listed
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Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions22 Oct 2013 0 repositories listed
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A novel sparsity and clustering regularization18 Oct 2013 0 repositories listed
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The Gaussian Radon Transform and Machine Learning17 Oct 2013 0 repositories listed
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Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects16 Oct 2013 0 repositories listed
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Alternating Minimization for Mixed Linear Regression14 Oct 2013 0 repositories listed
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M-Power Regularized Least Squares Regression9 Oct 2013 0 repositories listed
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CAM: Causal additive models, high-dimensional order search and penalized regression6 Oct 2013 0 repositories listed
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Narrowing the Gap: Random Forests In Theory and In Practice4 Oct 2013 0 repositories listed
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Modeling Scientific Impact with Topical Influence Regression1 Oct 2013 0 repositories listed
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MPBART - Multinomial Probit Bayesian Additive Regression Trees30 Sep 2013 0 repositories listed
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Regression Trees for Longitudinal Data30 Sep 2013 0 repositories listed
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Causal Discovery with Continuous Additive Noise Models26 Sep 2013 0 repositories listed
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Reasoning about Probabilities in Dynamic Systems using Goal Regression26 Sep 2013 0 repositories listed
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Random Forests on Distance Matrices for Imaging Genetics Studies24 Sep 2013 0 repositories listed
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Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset23 Sep 2013 0 repositories listed
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Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization10 Sep 2013 0 repositories listed
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A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries8 Sep 2013 0 repositories listed
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Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization28 Aug 2013 0 repositories listed
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Likelihood Adaptively Modified Penalties23 Aug 2013 0 repositories listed
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Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations15 Aug 2013 0 repositories listed
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Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models14 Aug 2013 0 repositories listed
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High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables10 Aug 2013 0 repositories listed
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Empirical entropy, minimax regret and minimax risk6 Aug 2013 0 repositories listed
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Invariances of random fields paths, with applications in Gaussian Process Regression6 Aug 2013 0 repositories listed
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On b-bit min-wise hashing for large-scale regression and classification with sparse data6 Aug 2013 0 repositories listed
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Co-Regression for Cross-Language Review Rating Prediction1 Aug 2013 0 repositories listed
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Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression1 Aug 2013 0 repositories listed
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Likelihood-ratio calibration using prior-weighted proper scoring rules30 Jul 2013 0 repositories listed
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Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso30 Jul 2013 0 repositories listed
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Infinite Mixtures of Multivariate Gaussian Processes26 Jul 2013 0 repositories listed
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A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees20 Jul 2013 0 repositories listed
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A Safe Screening Rule for Sparse Logistic Regression16 Jul 2013 0 repositories listed
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Fast gradient descent for drifting least squares regression, with application to bandits11 Jul 2013 0 repositories listed
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Minimum Distance Estimation for Robust High-Dimensional Regression11 Jul 2013 0 repositories listed
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Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression7 Jul 2013 0 repositories listed
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Loss minimization and parameter estimation with heavy tails7 Jul 2013 0 repositories listed
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AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods4 Jul 2013 0 repositories listed
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A non-parametric conditional factor regression model for high-dimensional input and response2 Jul 2013 0 repositories listed
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Comparing various regression methods on ensemble strategies in differential evolution2 Jul 2013 0 repositories listed
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Semi-supervised Ranking Pursuit2 Jul 2013 0 repositories listed