| Multivariate Dyadic Regression Trees for Sparse Learning Problems | Dec 1, 2010 | General Classificationregression | —Unverified | 0 |
| Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression | Dec 1, 2010 | Predictionregression | —Unverified | 0 |
| Exact learning curves for Gaussian process regression on large random graphs | Dec 1, 2010 | regression | —Unverified | 0 |
| Penalized Principal Component Regression on Graphs for Analysis of Subnetworks | Dec 1, 2010 | Dimensionality Reductionregression | —Unverified | 0 |
| A Dirty Model for Multi-task Learning | Dec 1, 2010 | modelMulti-Task Learning | —Unverified | 0 |
| Relaxed Clipping: A Global Training Method for Robust Regression and Classification | Dec 1, 2010 | ClassificationGeneral Classification | —Unverified | 0 |
| Adaptive Multi-Task Lasso: with Application to eQTL Detection | Dec 1, 2010 | Multi-Task Learningregression | —Unverified | 0 |
| Fast global convergence rates of gradient methods for high-dimensional statistical recovery | Dec 1, 2010 | Computational Efficiencyregression | —Unverified | 0 |
| Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation | Dec 1, 2010 | Pose EstimationPrediction | —Unverified | 0 |
| Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization | Dec 1, 2010 | feature selectionregression | —Unverified | 0 |
| Decomposing Isotonic Regression for Efficiently Solving Large Problems | Dec 1, 2010 | regression | —Unverified | 0 |
| Pose-Sensitive Embedding by Nonlinear NCA Regression | Dec 1, 2010 | regression | —Unverified | 0 |
| Discriminative Clustering by Regularized Information Maximization | Dec 1, 2010 | ClusteringModel Selection | —Unverified | 0 |
| Nuclear norm penalization and optimal rates for noisy low rank matrix completion | Nov 29, 2010 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 |
| Bregman Distance to L1 Regularized Logistic Regression | Apr 21, 2010 | regression | —Unverified | 0 |
| Supervised Topic Models | Mar 3, 2010 | parameter estimationregression | CodeCode Available | 0 |
| Convex Relaxation of Mixture Regression with Efficient Algorithms | Dec 1, 2009 | Motion Segmentationregression | —Unverified | 0 |
| Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness | Dec 1, 2009 | regression | —Unverified | 0 |
| Kernels and learning curves for Gaussian process regression on random graphs | Dec 1, 2009 | regression | —Unverified | 0 |
| Optimal Scoring for Unsupervised Learning | Dec 1, 2009 | ClusteringGeneral Classification | —Unverified | 0 |
| Distribution Matching for Transduction | Dec 1, 2009 | General Classificationregression | —Unverified | 0 |
| Structured output regression for detection with partial truncation | Dec 1, 2009 | regression | —Unverified | 0 |
| Gaussian process regression with Student-t likelihood | Dec 1, 2009 | regression | —Unverified | 0 |
| Heterogeneous multitask learning with joint sparsity constraints | Dec 1, 2009 | regression | —Unverified | 0 |
| Ensemble Nystrom Method | Dec 1, 2009 | regression | —Unverified | 0 |