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The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
Additionally, we highlight practical choices when implementing the algorithm, including choice of candidate algorithms, metalearners to combine the candidates, and risk functions to select the best combination of algorithms.
Applications
Asymptotically Optimal Algorithms for Budgeted Multiple Play Bandits
We study a generalization of the multi-armed bandit problem with multiple plays where there is a cost associated with pulling each arm and the agent has a budget at each time that dictates how much she can expect to spend.
The Generalized Mean Information Coefficient
Here we present the Generalized Mean Information Coefficient (GMIC), a generalization of MIC which incorporates a tuning parameter that can be used to modify the complexity of the association favored by the measure.
