Regression

Multivariate Regression with Calibration NeurIPS 2014 Narrowing the Gap: Random Forests In Theory and In Practice ICML 2014 New Bounds on Compressive Linear Least Squares Regression AISTATS 2014 One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Online Non-Parametric Regression COLT 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation JMLR 2014 Open Problem: Efficient Online Sparse Regression COLT 2014 Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014 Optimal Mean Robust Principal Component Analysis ICML 2014 Optimal rates for k-NN density and mode estimation NeurIPS 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 Partition-wise Linear Models NeurIPS 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems JMLR 2014 PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NeurIPS 2014 Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces CVPR 2014 Predicting Multiple Attributes via Relative Multi-task Learning CVPR 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014 Revisiting Stein's Paradox: Multi-Task Averaging JMLR 2014 Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014 Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NeurIPS 2014