Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: An Expectation Propagation Perspective on Approximate Message Passing
S-AMP: Approximate message passing for general matrix ensembles
a family of algorithms for approximate bayesian inference .
The expectation-maximization algorithm: Gaussian case
A stochastic approximation method for inference in probabilistic graphical models
A Note on the Expectation-Maximization (EM) Algorithm
Expectation maximization
Neural Expectation Maximization
Expectation maximization and posterior constraints
A review of deterministic approximate inference techniques for Bayesian machine learning
Efficient Subjective Bayesian network belief propagation for trees
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
AD 3 : alternating directions dual decomposition for MAP inference in graphical models
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Space-Alternating Generalized Expectation-Maximization Algorithm
Advances in Variational Inference
Bethe-ADMM for Tree Decomposition based Parallel MAP Inference
Belief Propagation in Conditional RBMs for Structured Prediction
On Approximate Inference for Generalized Gaussian Process Models
Yingzhen Li Topics in Approximate Inference 0 Front Matter
Compressive phase retrieval via generalized approximate message passing
Decoding the Semantic Content of Natural Movies from Human Brain Activity
A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle
MapReduce Algorithms for GIS Polygonal Overlay Processing