conftrace_

markov chain monte carlo

725 papers

Explore in graph

Also known as

MCMC

Co-occurring keywords

bayesian inference (1907) variational inference (2069) langevin dynamics (128) hamiltonian monte carlo (92) gibbs sampling (201) stochastic gradient (296) mcmc sampling (70) mixing time (70) sampling algorithm (130) gaussian process (1200)

Papers

Nested Sequential Monte Carlo Methods ICML 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015
Particle Gibbs for Bayesian Additive Regression Trees AISTATS 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015
Distributed Stochastic Gradient MCMC ICML 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Beta Diffusion Trees ICML 2014
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions ICML 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
Generating Efficient MCMC Kernels from Probabilistic Programs AISTATS 2014
A New Approach to Probabilistic Programming Inference AISTATS 2014
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization CVPR 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
A Compilation Target for Probabilistic Programming Languages ICML 2014