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Regression

4964 directly classified papers

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Papers

Robust Gaussian Process Regression with a Student- Likelihood JMLR 2011
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010
Bundle Methods for Regularized Risk Minimization JMLR 2010
Image Denoising with Kernels Based on Natural Image Relations JMLR 2010
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010
Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010
Decomposing Isotonic Regression for Efficiently Solving Large Problems NIPS 2010
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
A Dirty Model for Multi-task Learning NIPS 2010
Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010
A Regularization Approach to Nonlinear Variable Selection AISTATS 2010
Gaussian processes with monotonicity information AISTATS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Descent Methods for Tuning Parameter Refinement AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
The Group Dantzig Selector AISTATS 2010
Regularized Discriminant Analysis, Ridge Regression and Beyond JMLR 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Multi-task Learning for Recommender System ACML 2010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering NIPS 2010
Mixture of time-warped trajectory models for movement decoding NIPS 2010
Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010