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Markov Chain Monte Carlo

142 directly classified papers

Papers per year

Papers

A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NIPS 2015
Finite-Time Analysis of Projected Langevin Monte Carlo NIPS 2015
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014
A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Computing the Stationary Distribution Locally NIPS 2013
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NIPS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NIPS 2012