Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Optimal Proposal Distributions and Adaptive MCMC
Markov chains for exploring posterior distributions
Dynamic Blocking and Collapsing for Gibbs Sampling
Particle Gibbs with Ancestor Sampling
Monte Carlo sampling methods using Markov chains and their applications
Variational inference for the nested Chinese restaurant process
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Bayesian inference with Stan: A tutorial on adding custom distributions
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
accelerated adaptive markov chain for partition function computation .
On Markov Chain Monte Carlo Methods For Nonlinear And Non-Gaussian State-Space Models
Generalizing Hamiltonian Monte Carlo with Neural Networks
Advances in Lifted Importance Sampling
A stochastic approximation method for inference in probabilistic graphical models
Parallell interacting MCMC for learning of topologies of graphical models
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
a brief review of optimal scaling of the main mcmc approaches and optimal scaling of additive tmcmc under non - regular cases .
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Gibbs Sampling for the Uninitiated
Variational Bayes with Synthetic Likelihood
On sequential Monte Carlo sampling methods for Bayesian filtering
Enabling the implementation of evidence based practice: a conceptual framework
eXSRUP: Hybrid Software Development Model Integrating Extreme Programing, Scrum & Rational Unified Process
Prp40 and early events in splice site definition.
An Improved Switching Hybrid Recommender System Using Naive Bayes Classifier and Collaborative Filtering