markov chain monte carlo

Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018 Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NeurIPS 2018 Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points JMLR 2018 Convergence of Langevin MCMC in KL-divergence ALT 2018 Deep Poisson gamma dynamical systems NeurIPS 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Fast Estimation of Causal Interactions using Wold Processes NeurIPS 2018 Fast MCMC Sampling Algorithms on Polytopes JMLR 2018 Generalizing Hamiltonian Monte Carlo with Neural Networks ICLR 2018 HOGWILD!-Gibbs can be PanAccurate NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms CVPR 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018 Mental Sampling in Multimodal Representations NeurIPS 2018 Meta-Learning MCMC Proposals NeurIPS 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models ICML 2018 Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018 Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018 Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018 Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018