Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood
Extended Bayesian Information Criteria for Gaussian Graphical Models
A stochastic approximation method for inference in probabilistic graphical models
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
AD 3 : alternating directions dual decomposition for MAP inference in graphical models
Correctness of Local Probability Propagation in Graphical Models with Loops
Learning mixed kronecker product graph models with simulated method of moments
Fast Sampling Of Gaussian Markov Random Fields With Applications
Tighter Linear Program Relaxations for High Order Graphical Models
A survey on learning approaches for Undirected Graphical Models. Application to scene object recognition
2 Graphical Models in a Nutshell
Scalable Gaussian Process Classification via Expectation Propagation
Parallell interacting MCMC for learning of topologies of graphical models
L0 sparse graphical modeling
Sparse inverse covariance estimation with the graphical lasso
Graphical Models with Structured Factors, Neural Factors, and Approximation-aware Training
Nonmonotonic Generalization Bias of Gaussian Mixture Models
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities
a variational baysian framework for graphical models .
Bayesian Learning with Dependency Structures via Latent Factors, Mixtures, and Copulas
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems
What About Applied Fairness?
Spreadsheet Validation and Analysis through Content Visualization
Palmoplantar eczema as initial sign of mycosis fungoides
Rank Aggregation Revisited
Linear model selection by cross-validation