| Non-conjugate Variational Message Passing for Multinomial and Binary Regression | Dec 1, 2011 | regression | —Unverified | 0 |
| Sparse Bayesian Multi-Task Learning | Dec 1, 2011 | ClassificationGeneral Classification | —Unverified | 0 |
| Generalized Beta Mixtures of Gaussians | Dec 1, 2011 | regression | —Unverified | 0 |
| k-NN Regression Adapts to Local Intrinsic Dimension | Dec 1, 2011 | regression | —Unverified | 0 |
| On Causal Discovery with Cyclic Additive Noise Models | Dec 1, 2011 | Causal Discoveryregression | —Unverified | 0 |
| Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning | Dec 1, 2011 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Gaussian Process Training with Input Noise | Dec 1, 2011 | regression | —Unverified | 0 |
| Optimal learning rates for least squares SVMs using Gaussian kernels | Dec 1, 2011 | regression | —Unverified | 0 |
| Efficient Regression in Metric Spaces via Approximate Lipschitz Extension | Nov 18, 2011 | regression | —Unverified | 0 |
| Regression for sets of polynomial equations | Oct 20, 2011 | regression | —Unverified | 0 |
| Gaussian Process Regression Networks | Oct 19, 2011 | Gaussian Processesregression | CodeCode Available | 0 |
| Overlapping Mixtures of Gaussian Processes for the Data Association Problem | Aug 16, 2011 | Gaussian ProcessesMulti-Object Tracking | —Unverified | 0 |
| Bayesian Learning via Stochastic Gradient Langevin Dynamics | Jul 28, 2011 | regression | CodeCode Available | 0 |
| Random design analysis of ridge regression | Jun 13, 2011 | LEMMAregression | —Unverified | 0 |
| Adaptive and optimal online linear regression on ^1-balls | May 20, 2011 | regression | —Unverified | 0 |
| A Risk Comparison of Ordinary Least Squares vs Ridge Regression | May 4, 2011 | regression | —Unverified | 0 |
| Sparsity regret bounds for individual sequences in online linear regression | Jan 5, 2011 | regression | —Unverified | 0 |
| Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection | Dec 28, 2010 | Attributeregression | —Unverified | 0 |
| Optimal learning rates for Kernel Conjugate Gradient regression | Dec 1, 2010 | Dimensionality Reductionregression | —Unverified | 0 |
| Graph-Valued Regression | Dec 1, 2010 | regression | —Unverified | 0 |
| Scrambled Objects for Least-Squares Regression | Dec 1, 2010 | regression | —Unverified | 0 |
| Heavy-Tailed Process Priors for Selective Shrinkage | Dec 1, 2010 | Gaussian ProcessesGeneral Classification | —Unverified | 0 |
| Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference | Dec 1, 2010 | Causal Inferenceregression | —Unverified | 0 |
| t-logistic regression | Dec 1, 2010 | regression | —Unverified | 0 |
| A Family of Penalty Functions for Structured Sparsity | Dec 1, 2010 | regression | —Unverified | 0 |