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mcmc sampling

70 papers

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Co-occurring keywords

markov chain monte carlo (725) bayesian inference (1907) hamiltonian monte carlo (92) mixing time (70) energy-based model (251) posterior inference (138) markov chain (207) riemannian manifold (169) determinantal point process (140) gibbs sampling (201)

Papers

Flexible Modeling of Diversity with Strongly Log-Concave Distributions NIPS 2019
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018
Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NIPS 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
Stochastic Gradient MCMC with Stale Gradients NIPS 2016
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling NIPS 2016
MCMC Learning COLT 2015
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015
Learning Fast-Mixing Models for Structured Prediction ICML 2015
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NIPS 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Slice Sampling Particle Belief Propagation ICCV 2013
Topology-Constrained Layered Tracking with Latent Flow ICCV 2013
Diagonal Orthant Multinomial Probit Models AISTATS 2013
Fast Determinantal Point Process Sampling with Application to Clustering NIPS 2013