Regression

Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Encog: Library of Interchangeable Machine Learning Models for Java and C# JMLR 2015 Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization CVPR 2015 Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015 Fast and Accurate Image Upscaling With Super-Resolution Forests CVPR 2015 Fast Function to Function Regression AISTATS 2015 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015 Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NeurIPS 2015 Fast Randomized Kernel Ridge Regression with Statistical Guarantees NeurIPS 2015 Fixation Bank: Learning to Reweight Fixation Candidates CVPR 2015 Gaussian Process Random Fields NeurIPS 2015 Generalized Linear Models for Aggregated Data AISTATS 2015 Hot or Not: Exploring Correlations Between Appearance and Temperature ICCV 2015 Implementable confidence sets in high dimensional regression AISTATS 2015 Intra-Frame Deblurring by Leveraging Inter-Frame Camera Motion CVPR 2015 Joint Estimation of Multiple Precision Matrices with Common Structures JMLR 2015 Lasso Screening Rules via Dual Polytope Projection JMLR 2015 LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NeurIPS 2015 Latent feature regression for multivariate count data AISTATS 2015 Learning Large-Scale Automatic Image Colorization ICCV 2015 Learning Lightness From Human Judgement on Relative Reflectance CVPR 2015 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 Learning Theory of Randomized Kaczmarz Algorithm JMLR 2015 Learning with a Wasserstein Loss NeurIPS 2015 Learning with Incremental Iterative Regularization NeurIPS 2015