4 papers
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
Tianyu Du, Ayush Kanodia, Susan Athey
The is an open-source library for flexible, fast choice modeling with Python and PyTorch. provides a data s…
Using Experiments to Correct for Selection in Observational Studies
Susan Athey, Raj Chetty, Guido Imbens
Researchers increasingly have access to two types of data: (i) large observational datasets where treatment (e.g., class size) is not randomized but several primary outcomes (e.g.,…
Qini Curves for Multi-Armed Treatment Rules
Erik Sverdrup, Han Wu, Susan Athey +1
Qini curves have emerged as an attractive and popular approach for evaluating the benefit of data-driven targeting rules for treatment allocation. We propose a generalization of th…
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…