27 citations · 44 across the 6 of their papers we have counts for
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cs.LG2023
Federated Offline Policy Learning
Aldo Gael Carranza, Susan Athey
We consider the problem of learning personalized decision policies from observational bandit feedback data across multiple heterogeneous data sources. In our approach, we introduce…
cs.LG2022★ 2 cited
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
Contextual bandit algorithms often estimate reward models to inform decision-making. However, true rewards can contain action-independent redundancies that are not relevant for dec…