Regression

Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014 Convolutional Neural Networks for No-Reference Image Quality Assessment CVPR 2014 Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NeurIPS 2014 Discrete-Continuous Depth Estimation from a Single Image CVPR 2014 Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014 Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014 Efficiency of conformalized ridge regression COLT 2014 Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014 Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014 Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014 Face Alignment at 3000 FPS via Regressing Local Binary Features CVPR 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 Fast Distribution To Real Regression AISTATS 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 Fast Prediction for Large-Scale Kernel Machines NeurIPS 2014 Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014 FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014