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An Adaptive Optimization Approach to Personalized Financial Incentives in Mobile Behavioral Weight Loss Interventions
In this paper, we consider this challenge of designing personalized weight loss interventions that use direct financial incentives to motivate weight loss while remaining within a budget.
Optimal Local Explainer Aggregation for Interpretable Prediction
In contrast to other heuristic methods, we use an integer optimization framework to combine local explainers into a near-global aggregate explainer.
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