Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: bayesian computation via markov chain monte .
Markov chains for exploring posterior distributions
Stochastic Gradient MCMC Methods for Hidden Markov Models
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
A tutorial on adaptive MCMC
Empirical Bayes Gibbs sampling
Monte Carlo sampling methods using Markov chains and their applications
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues
A stochastic approximation method for inference in probabilistic graphical models
markov chain monte carlo and variational inference : bridging the gap .
Variational Bayesian Inference with Stochastic Search
On Markov Chain Monte Carlo Methods For Nonlinear And Non-Gaussian State-Space Models
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Optimal Proposal Distributions and Adaptive MCMC
markov chain monte carlo maximum likelihood .
Cognitive computation: A Bayesian machine case study
The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks
Understanding the Metropolis-Hastings algorithm
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
Approximate Bayesian Computation (ABC) in practice
Bidirectional Recursive Neural Networks for Token-Level Labeling with Structure
A 0.18-$ \mu{\hbox {m}}$ Monolithic Li-Ion Battery Charger for Wireless Devices Based on Partial Current Sensing and Adaptive Reference Voltage
Expanding small UAV capabilities with ANN: A case study for urban areas observation
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
maximum likelihood from incomplete data via the em - algorithm plus discussions on the paper .