| An Introduction to Conditional Random Fields | Nov 17, 2010 | General Classificationparameter estimation | —Unverified | 0 |
| Supervised Topic Models | Mar 3, 2010 | parameter estimationregression | CodeCode Available | 0 |
| An Unsupervised Algorithm For Learning Lie Group Transformations | Jan 7, 2010 | parameter estimationTranslation | —Unverified | 0 |
| Factorization Machines | Jan 1, 2010 | parameter estimationRecommendation Systems | —Unverified | 0 |
| Maximum likelihood trajectories for continuous-time Markov chains | Dec 1, 2009 | parameter estimation | —Unverified | 0 |
| Minimum Probability Flow Learning | Jun 25, 2009 | parameter estimation | CodeCode Available | 1 |
| Efficient Exact Inference in Planar Ising Models | Dec 1, 2008 | Boundary Detectionparameter estimation | —Unverified | 0 |
| Discriminative K-means for Clustering | Dec 1, 2007 | Clusteringparameter estimation | —Unverified | 0 |
| Continuous Time Particle Filtering for fMRI | Dec 1, 2007 | parameter estimation | —Unverified | 0 |
| Variational inference for Markov jump processes | Dec 1, 2007 | parameter estimationVariational Inference | —Unverified | 0 |
