| DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements | Nov 12, 2013 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| Scalable Recommendation with Poisson Factorization | Nov 7, 2013 | Variational Inference | CodeCode Available | 0 |
| Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach | Nov 6, 2013 | Bayesian InferenceMusic Recommendation | —Unverified | 0 |
| A Sparse and Adaptive Prior for Time-Dependent Model Parameters | Oct 9, 2013 | Variational Inference | —Unverified | 0 |
| Improved Bayesian Logistic Supervised Topic Models with Data Augmentation | Oct 9, 2013 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules | Oct 1, 2013 | TranslationVariational Inference | —Unverified | 0 |
| Automorphism Groups of Graphical Models and Lifted Variational Inference | Sep 26, 2013 | Variational Inference | —Unverified | 0 |
| Constrained Bayesian Inference for Low Rank Multitask Learning | Sep 26, 2013 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| One-class Collaborative Filtering with Random Graphs: Annotated Version | Sep 26, 2013 | Collaborative FilteringVariational Inference | —Unverified | 0 |
| Integrating Document Clustering and Topic Modeling | Sep 26, 2013 | ClusteringTopic Models | —Unverified | 0 |
