| Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters | Jun 30, 2014 | Bayesian OptimisationGaussian Processes | CodeCode Available | 0 |
| Guaranteed Scalable Learning of Latent Tree Models | Jun 18, 2014 | parameter estimation | —Unverified | 0 |
| Distributed Parameter Estimation in Probabilistic Graphical Models | Jun 11, 2014 | parameter estimation | —Unverified | 0 |
| Learning Latent Variable Gaussian Graphical Models | Jun 10, 2014 | parameter estimationRecommendation Systems | —Unverified | 0 |
| Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization | Jun 1, 2014 | parameter estimation | —Unverified | 0 |
| Predicting Failures of Vision Systems | Jun 1, 2014 | Attributeparameter estimation | —Unverified | 0 |
| Seeking multi-thresholds for image segmentation with Learning Automata | May 28, 2014 | Image Segmentationparameter estimation | —Unverified | 0 |
| On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach | May 21, 2014 | parameter estimation | CodeCode Available | 0 |
| On Communication Cost of Distributed Statistical Estimation and Dimensionality | May 7, 2014 | parameter estimation | —Unverified | 0 |
| Optimality guarantees for distributed statistical estimation | May 5, 2014 | parameter estimation | —Unverified | 0 |
