| Convex Relaxation of Mixture Regression with Efficient Algorithms | Dec 1, 2009 | Motion Segmentationregression | —Unverified | 0 |
| Manifold Regularization for SIR with Rate Root-n Convergence | Dec 1, 2009 | regression | —Unverified | 0 |
| Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes | Dec 1, 2009 | Gaussian Processesregression | —Unverified | 0 |
| Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction | Dec 1, 2009 | Dimensionality Reductionregression | —Unverified | 0 |
| Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness | Dec 1, 2009 | regression | —Unverified | 0 |
| Compressed Least-Squares Regression | Dec 1, 2009 | regression | —Unverified | 0 |
| Learning Non-Linear Combinations of Kernels | Dec 1, 2009 | regression | —Unverified | 0 |
| Fast, smooth and adaptive regression in metric spaces | Dec 1, 2009 | regression | —Unverified | 0 |
| Gaussian process regression with Student-t likelihood | Dec 1, 2009 | regression | —Unverified | 0 |
| Optimal Scoring for Unsupervised Learning | Dec 1, 2009 | ClusteringGeneral Classification | —Unverified | 0 |
| Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction | Dec 1, 2009 | feature selectionPrediction | —Unverified | 0 |
| Heterogeneous multitask learning with joint sparsity constraints | Dec 1, 2009 | regression | —Unverified | 0 |
| Lattice Regression | Dec 1, 2009 | Managementregression | —Unverified | 0 |
| Data-driven calibration of linear estimators with minimal penalties | Dec 1, 2009 | Model Selectionregression | —Unverified | 0 |
| Distribution Matching for Transduction | Dec 1, 2009 | General Classificationregression | —Unverified | 0 |
| Effectiveness and Limitations of Statistical Spam Filters | Oct 14, 2009 | regression | —Unverified | 0 |
| A path algorithm for the Fused Lasso Signal Approximator | Oct 3, 2009 | regression | CodeCode Available | 0 |
| Sparsistent Estimation of Time-Varying Discrete Markov Random Fields | Jul 14, 2009 | regressionTime Series | —Unverified | 0 |
| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| Fitted Q-iteration by Advantage Weighted Regression | Dec 1, 2008 | regression | —Unverified | 0 |
| Robust Regression and Lasso | Dec 1, 2008 | regression | —Unverified | 0 |
| Phase transitions for high-dimensional joint support recovery | Dec 1, 2008 | regressionTransfer Learning | —Unverified | 0 |
| Non-parametric Regression Between Manifolds | Dec 1, 2008 | regression | —Unverified | 0 |
| Privacy-preserving logistic regression | Dec 1, 2008 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Bayesian Kernel Shaping for Learning Control | Dec 1, 2008 | Gaussian Processesregression | —Unverified | 0 |