| Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning | Dec 1, 2012 | Dimensionality ReductionMetric Learning | —Unverified | 0 |
| Efficient Optimization for Discriminative Latent Class Models | Dec 1, 2010 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Optimal learning rates for Kernel Conjugate Gradient regression | Dec 1, 2010 | Dimensionality Reductionregression | —Unverified | 0 |
| Multi-Label Prediction via Sparse Infinite CCA | Dec 1, 2009 | Dimensionality ReductionPrediction | —Unverified | 0 |
| Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction | Dec 1, 2009 | Dimensionality Reductionregression | —Unverified | 0 |
| DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification | Dec 1, 2008 | ClassificationDimensionality Reduction | —Unverified | 0 |
| Supervised Exponential Family Principal Component Analysis via Convex Optimization | Dec 1, 2008 | Dimensionality Reductionglobal-optimization | —Unverified | 0 |
