Regression

Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 On Ranking and Generalization Bounds JMLR 2012 PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Pointwise Tracking the Optimal Regression Function NeurIPS 2012 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Random Design Analysis of Ridge Regression COLT 2012 Random Utility Theory for Social Choice NeurIPS 2012 Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012 Regression for sets of polynomial equations AISTATS 2012 Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012 Sample Complexity of Composite Likelihood AISTATS 2012 Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Sparse Additive Machine AISTATS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Sparsistency of the Edge Lasso over Graphs AISTATS 2012 Supervised Learning with Similarity Functions NeurIPS 2012 Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity RSS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012