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hamiltonian monte carlo

92 papers

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Also known as

HMC

Co-occurring keywords

markov chain monte carlo (725) bayesian inference (1907) stochastic gradient (296) stochastic process (388) posterior distribution (259) variational inference (2069) bayesian neural network (201) mcmc sampling (70) sampling method (109) sampling algorithm (130)

Papers

The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Learning Generative Models with Visual Attention NIPS 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Hamiltonian Monte Carlo Without Detailed Balance ICML 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Flexible sampling of discrete data correlations without the marginal distributions NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011