Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Understanding the Metropolis-Hastings algorithm
Explaining the Gibbs Sampler
Firefly Monte Carlo: Exact MCMC with Subsets of Data
Variational inference for the nested Chinese restaurant process
Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
introduction to markov chain monte carlo simulations and their statistical analysis .
Stochastic Gradient Hamiltonian Monte Carlo
The Kolmogorov sampler
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
On the Optimal Convergence Probability of Univariate Estimation of Distribution Algorithms
R2: an efficient MCMC sampler for probabilistic programs
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
Quasi-Newton Hamiltonian Monte Carlo
Stochastic Gradient MCMC Methods for Hidden Markov Models
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
markov chain monte carlo and variational inference : bridging the gap .
Particle Gibbs with Ancestor Sampling
Advances in Lifted Importance Sampling
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
THE FIVE GREATEST APPLICATIONS OF MARKOV CHAINS
Flux concentrating axial ferrite magnet motor
Tools for Statistical Inference: Observed Data and Data Augmentation Methods (Martin A. Tanner)
Warp-Knitted Textile as a Strain Sensor: Characterization Procedure and Application in a Comfortable Wearable Goniometer
Automated Face Analysis for Affective Computing
Comparison of Euler Estimate using Extended Kalman Filter, Madgwick and Mahony on Quadcopter Flight Data