Regression

Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015 Learning with the Maximum Correntropy Criterion Induced Losses for Regression JMLR 2015 Less is More: Nyström Computational Regularization NeurIPS 2015 Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network ICCV 2015 LMI-Based 2D-3D Registration: From Uncalibrated Images to Euclidean Scene CVPR 2015 Low-Level Vision by Consensus in a Spatial Hierarchy of Regions CVPR 2015 Low Rank Matrix Completion with Exponential Family Noise COLT 2015 Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NeurIPS 2015 Matrix Completion Under Monotonic Single Index Models NeurIPS 2015 Mind the duality gap: safer rules for the Lasso ICML 2015 Minimax Fixed-Design Linear Regression COLT 2015 Minimax rates for memory-bounded sparse linear regression COLT 2015 Moderated and Drifting Linear Dynamical Systems ICML 2015 Nearly Optimal Private LASSO NeurIPS 2015 Near-optimal max-affine estimators for convex regression AISTATS 2015 Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NeurIPS 2015 One-bit Compressed Sensing with the k-Support Norm AISTATS 2015 On Elicitation Complexity NeurIPS 2015 On Linearly Constrained Minimum Variance Beamforming JMLR 2015 Online Gradient Boosting NeurIPS 2015 Online Time Series Prediction with Missing Data ICML 2015 On Semi-Supervised Linear Regression in Covariate Shift Problems JMLR 2015 On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015 On the consistency theory of high dimensional variable screening NeurIPS 2015 Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs COLT 2015