Regression

Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 Particle Gibbs for Bayesian Additive Regression Trees AISTATS 2015 partykit: A Modular Toolkit for Recursive Partytioning in R JMLR 2015 Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015 Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015 Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015 PU Learning for Matrix Completion ICML 2015 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015 Random Tree Walk Toward Instantaneous 3D Human Pose Estimation CVPR 2015 Reflection Removal Using Ghosting Cues CVPR 2015 Regressive Tree Structured Model for Facial Landmark Localization ICCV 2015 Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NeurIPS 2015 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Regularized Linear Regression: A Precise Analysis of the Estimation Error COLT 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction ACML 2015 Robust Optimization for Deep Regression ICCV 2015 Robust Regression on Image Manifolds for Ordered Label Denoising CVPR 2015 Robust Regression via Hard Thresholding NeurIPS 2015 Robust sketching for multiple square-root LASSO problems AISTATS 2015 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Second-Order Non-Stationary Online Learning for Regression JMLR 2015 Self Scaled Regularized Robust Regression CVPR 2015