Regression

Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015 SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NeurIPS 2015 Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation JMLR 2015 Single-Image Estimation of the Camera Response Function in Near-Lighting CVPR 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Sparse Variational Inference for Generalized GP Models ICML 2015 State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015 Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015 Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 Subset Selection by Pareto Optimization NeurIPS 2015 Supervised Descriptor Learning for Multi-Output Regression CVPR 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Supervised Learning via Euler's Elastica Models JMLR 2015 The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions NeurIPS 2015 The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R JMLR 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015 The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015 Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images CVPR 2015 Trend Filtering on Graphs AISTATS 2015 TRIC-track: Tracking by Regression With Incrementally Learned Cascades ICCV 2015 Truthful Linear Regression COLT 2015 Two-stage sampled learning theory on distributions AISTATS 2015 Understanding and Predicting Image Memorability at a Large Scale ICCV 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015