Post-Contextual-Bandit Inference
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies. To support credible inference on novel intervent...
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Published in | Advances in neural information processing systems Vol. 34; p. 28548 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.12.2021
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Online Access | Get more information |
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