| Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression | Jun 28, 2012 | Formregression | CodeCode Available | 0 |
| A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound | Jun 27, 2012 | regression | —Unverified | 0 |
| Improved Information Gain Estimates for Decision Tree Induction | Jun 18, 2012 | ClassificationGeneral Classification | —Unverified | 0 |
| Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results | Jun 5, 2012 | regression | —Unverified | 0 |
| Tuning as Linear Regression | Jun 1, 2012 | Machine Translationregression | —Unverified | 0 |
| Regression with Phrase Indicators for Estimating MT Quality | Jun 1, 2012 | Machine Translationregression | —Unverified | 0 |
| A Generalized Kernel Approach to Structured Output Learning | May 10, 2012 | regression | —Unverified | 0 |
| On Power-law Kernels, corresponding Reproducing Kernel Hilbert Space and Applications | Apr 9, 2012 | General Classificationregression | —Unverified | 0 |
| A Multi-objective Exploratory Procedure for Regression Model Selection | Mar 28, 2012 | Decision MakingModel Selection | —Unverified | 0 |
| Polynomial expansion of the binary classification function | Mar 26, 2012 | Binary ClassificationClassification | CodeCode Available | 0 |
| Algorithms for Learning Kernels Based on Centered Alignment | Mar 2, 2012 | General ClassificationGeneralization Bounds | —Unverified | 0 |
| Near-optimal Coresets For Least-Squares Regression | Feb 16, 2012 | regression | —Unverified | 0 |
| Lossy Compression via Sparse Linear Regression: Performance under Minimum-distance Encoding | Feb 3, 2012 | regression | —Unverified | 0 |
| Kernels on Sample Sets via Nonparametric Divergence Estimates | Feb 1, 2012 | Anomaly DetectionBIG-bench Machine Learning | —Unverified | 0 |
| Additive Gaussian Processes | Dec 19, 2011 | Additive modelsGaussian Processes | CodeCode Available | 0 |
| Optimal learning rates for least squares SVMs using Gaussian kernels | Dec 1, 2011 | regression | —Unverified | 0 |
| Continuous-Time Regression Models for Longitudinal Networks | Dec 1, 2011 | regression | —Unverified | 0 |
| Sparse recovery by thresholded non-negative least squares | Dec 1, 2011 | regression | —Unverified | 0 |
| Sparse Bayesian Multi-Task Learning | Dec 1, 2011 | ClassificationGeneral Classification | —Unverified | 0 |
| k-NN Regression Adapts to Local Intrinsic Dimension | Dec 1, 2011 | regression | —Unverified | 0 |
| Generalized Beta Mixtures of Gaussians | Dec 1, 2011 | regression | —Unverified | 0 |
| Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression | Dec 1, 2011 | regression | —Unverified | 0 |
| Semi-supervised Regression via Parallel Field Regularization | Dec 1, 2011 | regression | —Unverified | 0 |
| Non-conjugate Variational Message Passing for Multinomial and Binary Regression | Dec 1, 2011 | regression | —Unverified | 0 |
| High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity | Dec 1, 2011 | regression | —Unverified | 0 |