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Regression

5,004 papers

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Papers

Fast Near-GRID Gaussian Process Regression AISTATS 2013
A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Distribution-Free Distribution Regression AISTATS 2013
Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013
Online Learning for Time Series Prediction COLT 2013
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013
Consistency of Robust Kernel Density Estimators COLT 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013
Cumulative Attribute Space for Age and Crowd Density Estimation CVPR 2013
A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013
Discriminative Non-blind Deblurring CVPR 2013
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013
Human Pose Estimation Using Body Parts Dependent Joint Regressors CVPR 2013
Fast Image Super-Resolution Based on In-Place Example Regression CVPR 2013
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation CVPR 2013
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013
Crossing the Line: Crowd Counting by Integer Programming with Local Features CVPR 2013
Optimal Geometric Fitting under the Truncated L2-Norm CVPR 2013
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images CVPR 2013
Least Soft-Threshold Squares Tracking CVPR 2013