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Regression

4964 directly classified papers

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Papers

A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014
The Falling Factorial Basis and Its Statistical Applications ICML 2014
Learning-by-Synthesis for Appearance-based 3D Gaze Estimation CVPR 2014
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NIPS 2014
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NIPS 2014
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NIPS 2014
The Inverse Regression Topic Model ICML 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NIPS 2014
Estimation with Norm Regularization NIPS 2014
Fast Kernel Learning for Multidimensional Pattern Extrapolation NIPS 2014
Head Pose Estimation Based on Multivariate Label Distribution CVPR 2014
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014
Boosting multi-step autoregressive forecasts ICML 2014
New Bounds on Compressive Linear Least Squares Regression AISTATS 2014
FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014
Accurate Object Detection with Joint Classification-Regression Random Forests CVPR 2014
Convolutional Neural Networks for No-Reference Image Quality Assessment CVPR 2014
Spectral k-Support Norm Regularization NIPS 2014
Robust Logistic Regression and Classification NIPS 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Partition-wise Linear Models NIPS 2014
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
A Study on Cross-Population Age Estimation CVPR 2014
The Gesture Recognition Toolkit JMLR 2014