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This paper explicitly construct several admissible methods, including methods based on well-separated clusters and a non-binary version of single linkage, and shows that, in contrast to the flat clustering setting, the hierarchical analog of these axioms are jointly satisfiable.
Ditching gradients lets you optimize network tolls and incentives in congestion games *much* faster, even when user behavior is complex and equilibrium-based.