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Covers the concept of the exponential family and discusses forward and backward maps, expensive computations, parameters, functions, and convexity.
Covers the Spin Glass Game, belief propagation, and message passing algorithms.
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Explores advanced graph coloring concepts, including planted coloring, rigidity threshold, and frozen variables in BP fixed points.
Covers the fundamentals of graph theory, including vertices, edges, degrees, walks, connected graphs, cycles, and trees, with a focus on the number of edges in a tree.
