14 citations · 135 across the 33 of their papers we have counts for
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stat.ML2015★ 1 cited
The Knowledge Gradient with Logistic Belief Models for Binary Classification
Yingfei Wang, Chu Wang, Warren Powell
We consider sequential decision making problems for binary classification scenario in which the learner takes an active role in repeatedly selecting samples from the action pool an…
stat.ML2015★ 3 cited
The Knowledge Gradient Policy Using A Sparse Additive Belief Model
Yan Li, Han Liu, Warren Powell
We propose a sequential learning policy for noisy discrete global optimization and ranking and selection (R\&S) problems with high dimensional sparse belief functions, where there…