| Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning | Mar 11, 2015 | Dimensionality ReductionPoint Processes | —Unverified | 0 |
| Modeling networks of spiking neurons as interacting processes with memory of variable length | Feb 23, 2015 | Point Processes | —Unverified | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 |
| Diversifying Sparsity Using Variational Determinantal Point Processes | Nov 23, 2014 | Diversityfeature selection | —Unverified | 0 |
| Large-Margin Determinantal Point Processes | Nov 6, 2014 | Diversityparameter estimation | —Unverified | 0 |
| Expectation-Maximization for Learning Determinantal Point Processes | Nov 4, 2014 | DiversityPoint Processes | —Unverified | 0 |
| Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet | Nov 4, 2014 | Object RecognitionPoint Processes | CodeCode Available | 1 |
| Variational Inference for Gaussian Process Modulated Poisson Processes | Nov 2, 2014 | AstronomyBayesian Inference | —Unverified | 0 |
| Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering | Oct 26, 2014 | ClusteringPoint Processes | —Unverified | 0 |
| Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes | Oct 24, 2014 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
