Message passing in graphical models

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Related lectures (32)

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Cheeger's Inequalities

Explores Cheeger's inequalities for random walks on graphs and their implications.

Expander Graphs: Properties and Eigenvalues

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

Graph Theory and Network Flows

Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.

Graph Algorithms II: Traversal and Paths

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

Minimum Spanning Trees: Prim's Algorithm

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Assembly: Physics of Manufacturing

Discusses the importance of assembly in manufacturing and covers common couplings, stability, and spatial vectors.

Convergence of Random Walks

Explores the convergence of random walks on graphs and the properties of weighted adjacency matrices.

Sparsest Cut: ARV Theorem

Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.

Networks, Flows

Covers the definition of flow in a network and flow calculation.

Graph Theory: Path Weighted by Amplitude

Covers the calculation of paths in a graph, focusing on amplitude-weighted paths.