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Department of Computer and Information Sciences, University of Pennsylvania
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Zero model disagreement is achievable with simple techniques like stacking, boosting, and architecture search, converging as you increase the number of models, iterations, or architecture size.
Forget Bayesian priors: swap regret bounds alone can align incentives for exploration in dynamic bandit settings with diverse agent beliefs.
