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Regression

5,004 papers

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Papers

Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012
Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Sparse Additive Machine AISTATS 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
Random Design Analysis of Ridge Regression COLT 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
Consistent Model Selection Criteria on High Dimensions JMLR 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
On Ranking and Generalization Bounds JMLR 2012
glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications JMLR 2012
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012
Multi-Target Regression with Rule Ensembles JMLR 2012
Linear Regression With Random Projections JMLR 2012
Multi-task Regression using Minimal Penalties JMLR 2012
Human Gesture Recognition on Product Manifolds JMLR 2012
Large-scale Linear Support Vector Regression JMLR 2012
Learning Symbolic Representations of Hybrid Dynamical Systems JMLR 2012
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012
Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept RSS 2012
Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity RSS 2012