Regression

One-shot learning and big data with n=2 NeurIPS 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 Online Learning for Time Series Prediction COLT 2013 Online Learning with Costly Features and Labels NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 On the Mutual Nearest Neighbors Estimate in Regression JMLR 2013 On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NeurIPS 2013 Optical Flow via Locally Adaptive Fusion of Complementary Data Costs ICCV 2013 Optimal Geometric Fitting under the Truncated L2-Norm CVPR 2013 Parametric Task Learning NeurIPS 2013 PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Quantile Regression for Large-scale Applications ICML 2013 Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013 Real-Time No-Reference Image Quality Assessment Based on Filter Learning CVPR 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Robust Discriminative Response Map Fitting with Constrained Local Models CVPR 2013 Robust Estimation of Nonrigid Transformation for Point Set Registration CVPR 2013 Robust Matrix Factorization with Unknown Noise ICCV 2013 Robust Regression on MapReduce ICML 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013