| A Family of Penalty Functions for Structured Sparsity | Dec 1, 2010 | regression | —Unverified | 0 |
| Exact learning curves for Gaussian process regression on large random graphs | Dec 1, 2010 | regression | —Unverified | 0 |
| Graph-Valued Regression | Dec 1, 2010 | regression | —Unverified | 0 |
| Adaptive Multi-Task Lasso: with Application to eQTL Detection | Dec 1, 2010 | Multi-Task Learningregression | —Unverified | 0 |
| Discriminative Clustering by Regularized Information Maximization | Dec 1, 2010 | ClusteringModel Selection | —Unverified | 0 |
| Fast global convergence rates of gradient methods for high-dimensional statistical recovery | Dec 1, 2010 | Computational Efficiencyregression | —Unverified | 0 |
| t-logistic regression | Dec 1, 2010 | regression | —Unverified | 0 |
| Penalized Principal Component Regression on Graphs for Analysis of Subnetworks | Dec 1, 2010 | Dimensionality Reductionregression | —Unverified | 0 |
| Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression | Dec 1, 2010 | Predictionregression | —Unverified | 0 |
| Optimal learning rates for Kernel Conjugate Gradient regression | Dec 1, 2010 | Dimensionality Reductionregression | —Unverified | 0 |
| Multivariate Dyadic Regression Trees for Sparse Learning Problems | Dec 1, 2010 | General Classificationregression | —Unverified | 0 |
| Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference | Dec 1, 2010 | Causal Inferenceregression | —Unverified | 0 |
| Decomposing Isotonic Regression for Efficiently Solving Large Problems | Dec 1, 2010 | regression | —Unverified | 0 |
| Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation | Dec 1, 2010 | Pose EstimationPrediction | —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 |
| Structured output regression for detection with partial truncation | Dec 1, 2009 | regression | —Unverified | 0 |
| Kernels and learning curves for Gaussian process regression on random graphs | Dec 1, 2009 | regression | —Unverified | 0 |
| Nonparametric Greedy Algorithms for the Sparse Learning Problem | Dec 1, 2009 | Additive modelsregression | —Unverified | 0 |
| Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity | Dec 1, 2009 | regression | —Unverified | 0 |
| Robust Nonparametric Regression with Metric-Space Valued Output | Dec 1, 2009 | General ClassificationMulti-class Classification | —Unverified | 0 |
| Directed Regression | Dec 1, 2009 | regression | —Unverified | 0 |
| Ensemble Nystrom Method | Dec 1, 2009 | regression | —Unverified | 0 |
| From PAC-Bayes Bounds to KL Regularization | Dec 1, 2009 | regression | —Unverified | 0 |