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Regression

195 directly classified papers

Papers per year

Papers

Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NIPS 2016
Facial Expression Intensity Estimation Using Ordinal Information CVPR 2016
Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation INTERSPEECH 2016
Supervised Descriptor Learning for Multi-Output Regression CVPR 2015
Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015
Truthful Linear Regression COLT 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NIPS 2015
The Synthesizability of Texture Examples CVPR 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Multivariate Regression with Calibration NIPS 2014
Active Regression by Stratification NIPS 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Learning-Based Atlas Selection for Multiple-Atlas Segmentation CVPR 2014
Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores CVPR 2014
The limits of squared Euclidean distance regularization NIPS 2014
A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Parametric Task Learning NIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
Human Pose Estimation Using Body Parts Dependent Joint Regressors CVPR 2013
Fast Image Super-Resolution Based on In-Place Example Regression CVPR 2013
Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013
Cumulative Attribute Space for Age and Crowd Density Estimation CVPR 2013
Nonparametric Reduced Rank Regression NIPS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012