A retrospective auditing method computes hindsight regret for marketing budgets by fitting response functions from logs, optimizing feasible reallocations, and propagating uncertainty to separate allocation inefficiency from estimation noise.
Near-optimalRegretBounds for Reinforcement Learning.Journal of Machine Learning Research11 (2010), 1563–1600
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Auditing Marketing Budget Allocation with Hindsight Regret
A retrospective auditing method computes hindsight regret for marketing budgets by fitting response functions from logs, optimizing feasible reallocations, and propagating uncertainty to separate allocation inefficiency from estimation noise.