A combinatorial bandit with saturating mean, efficiency-weighted targeted exploration, and change-point detection improves simulated multichannel ad budget allocation compared with UCB, Thompson sampling, and sliding-window baselines.
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Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
A combinatorial bandit with saturating mean, efficiency-weighted targeted exploration, and change-point detection improves simulated multichannel ad budget allocation compared with UCB, Thompson sampling, and sliding-window baselines.