Attention Automatic Differentiation Bayesian Statistics CP Decomposition Causal Inference Clustering Composition Method Conditional Independence Contingency Table DNN Differential Directed Graphical Model Duality ER Graph Exponential Family Function Gaussian Graphical Model Importance Sampling Initialization Integral Inversion Method Junction Tree KKT Conditions Kernel Loss Landscape Matrix Measure Message Passing Monte Carlo Integration Network Neural Network Optimization Optimization Algorithm PCA PyTorch Rejection Sampling SGD SVD SVM Set Tensor Transformation Method Transformer Tucker Decomposition Undirected Graphical Model