| Noise Benefits in Expectation-Maximization Algorithms | Nov 24, 2014 | Bayesian InferenceClustering | —Unverified | 0 |
| Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space | Nov 17, 2014 | Density Estimationparameter estimation | —Unverified | 0 |
| Statistical Models for Degree Distributions of Networks | Nov 14, 2014 | parameter estimation | —Unverified | 0 |
| Speaker Identification From Youtube Obtained Data | Nov 11, 2014 | parameter estimationQuantization | —Unverified | 0 |
| Bayesian group latent factor analysis with structured sparsity | Nov 11, 2014 | parameter estimation | CodeCode Available | 0 |
| Parameter estimation in spherical symmetry groups | Nov 10, 2014 | parameter estimation | —Unverified | 0 |
| Large-Margin Determinantal Point Processes | Nov 6, 2014 | Diversityparameter estimation | —Unverified | 0 |
| Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs | Nov 6, 2014 | parameter estimationProbabilistic Programming | —Unverified | 0 |
| Multivariate response and parsimony for Gaussian cluster-weighted models | Nov 3, 2014 | Clusteringparameter estimation | —Unverified | 0 |
| Notes on Noise Contrastive Estimation and Negative Sampling | Oct 30, 2014 | Binary Classificationparameter estimation | CodeCode Available | 0 |
| Training for Fast Sequential Prediction Using Dynamic Feature Selection | Oct 30, 2014 | feature selectionparameter estimation | —Unverified | 0 |
| Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation | Oct 17, 2014 | parameter estimation | —Unverified | 0 |
| Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models | Sep 29, 2014 | ClusteringOnline Clustering | —Unverified | 0 |
| SAME but Different: Fast and High-Quality Gibbs Parameter Estimation | Sep 18, 2014 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 |
| Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models | Sep 16, 2014 | Combinatorial OptimizationCPU | —Unverified | 0 |
| Hardness of parameter estimation in graphical models | Sep 12, 2014 | parameter estimation | —Unverified | 0 |
| Context-specific independence in graphical log-linear models | Sep 9, 2014 | parameter estimation | —Unverified | 0 |
| Asymptotic and finite-sample properties of estimators based on stochastic gradients | Aug 13, 2014 | parameter estimation | —Unverified | 0 |
| Low-rank SIFT: An Affine Invariant Feature for Place Recognition | Aug 7, 2014 | feature selectionparameter estimation | —Unverified | 0 |
| RankMerging: A supervised learning-to-rank framework to predict links in large social network | Jul 9, 2014 | feature selectionLearning-To-Rank | —Unverified | 0 |
| 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 |
