Regression

Gaussian Process Volatility Model NeurIPS 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Hard-Margin Active Linear Regression ICML 2014 Head Pose Estimation Based on Multivariate Label Distribution CVPR 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 Incremental Local Gaussian Regression NeurIPS 2014 Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture CVPR 2014 Learning-Based Atlas Selection for Multiple-Atlas Segmentation CVPR 2014 Learning-by-Synthesis for Appearance-based 3D Gaze Estimation CVPR 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Memory Efficient Kernel Approximation ICML 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Multiscale Centerline Detection by Learning a Scale-Space Distance Transform CVPR 2014 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014