Regression

High-Rank Matrix Completion AISTATS 2012 History-alignment models for bias-aware prediction of virological response to HIV combination therapy AISTATS 2012 Human Gesture Recognition on Product Manifolds JMLR 2012 Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 Large-scale Linear Support Vector Regression JMLR 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning Symbolic Representations of Hybrid Dynamical Systems JMLR 2012 Learning with Target Prior NeurIPS 2012 Linear Regression With Random Projections JMLR 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 Marginal Regression For Multitask Learning AISTATS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept RSS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Multi-Target Regression with Rule Ensembles JMLR 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Regression using Minimal Penalties JMLR 2012 Newton-Like Methods for Sparse Inverse Covariance Estimation NeurIPS 2012