Belief Propagation

Related lectures (29)

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Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

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

Covers graph properties, representations, and traversal algorithms using BFS and DFS.

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Explores Belief Propagation for graph coloring and its convergence properties.

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

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

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

Explores fundamental graph theory concepts, Erdős' results, Chromatic Lemma, and Union Bound theorem in graph theory.

Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.