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Regression

4964 directly classified papers

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Papers

Learning with a Wasserstein Loss NIPS 2015
Moderated and Drifting Linear Dynamical Systems ICML 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015
PU Learning for Matrix Completion ICML 2015
Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015
Mind the duality gap: safer rules for the Lasso ICML 2015
A Multitask Point Process Predictive Model ICML 2015
Sparse Variational Inference for Generalized GP Models ICML 2015
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015
Learning Large-Scale Automatic Image Colorization ICCV 2015
Robust Regression on Image Manifolds for Ordered Label Denoising CVPR 2015
Cascaded Hand Pose Regression CVPR 2015
Effective Learning-Based Illuminant Estimation Using Simple Features CVPR 2015
Discriminative Shape From Shading in Uncalibrated Illumination CVPR 2015
Random Tree Walk Toward Instantaneous 3D Human Pose Estimation CVPR 2015
Learning Lightness From Human Judgement on Relative Reflectance CVPR 2015
Lasso Screening Rules via Dual Polytope Projection JMLR 2015
Joint Estimation of Multiple Precision Matrices with Common Structures JMLR 2015
Convex Risk Minimization and Conditional Probability Estimation COLT 2015
Learning with the Maximum Correntropy Criterion Induced Losses for Regression JMLR 2015
Two-stage sampled learning theory on distributions AISTATS 2015
A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NIPS 2015
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015