gibbs sampling

Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian learning of joint distributions of objects AISTATS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013 Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Supervised Dimension Reduction with Topic Models ACML 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012