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posterior sampling

152 papers

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PS

Co-occurring keywords

bayesian inference (1907) markov chain monte carlo (725) regret bound (1926) diffusion model (3751) langevin dynamics (128) inverse problem (240) generative model (2892) reinforcement learning (4352) thompson sampling (237) uncertainty quantification (1393)

Papers

Stochastic Bouncy Particle Sampler ICML 2017
Renyi Differential Privacy Mechanisms for Posterior Sampling NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Sampling for Bayesian Program Learning NIPS 2016
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ICML 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Model-based Reinforcement Learning and the Eluder Dimension NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ICML 2014
(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013
Summary Statistics for Partitionings and Feature Allocations NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009