The Mixture Adaptive Design (MAD): An experimental design for anytime-valid causal inference on Multi-Armed Bandits.
Project description
pyssed
The goal of pyssed is to implement the Mixture Adaptive Design (MAD), as proposed by Liang and Bojinov. MAD is an experimental design for multi-armed bandit algorithms that enables anytime-valid inference on the Average Treatment Effect (ATE).
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