79 citations · 312 across the 15 of their papers we have counts for
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cs.LG2022★ 4 cited
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret
Connor Lawless, Angela Zhou
In this short technical note we propose a baseline for decision-aware learning for contextual linear optimization, which solves stochastic linear optimization when cost coefficient…
stat.ME2022
Data-Driven Influence Functions for Optimization-Based Causal Inference
Michael I. Jordan, Yixin Wang, Angela Zhou
We study a constructive algorithm that approximates Gateaux derivatives for statistical functionals by finite differencing, with a focus on functionals that arise in causal inferen…
cs.LG2022★ 1 cited
Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo, Michael I. Jordan, Angela Zhou
The intersection of causal inference and machine learning for decision-making is rapidly expanding, but the default decision criterion remains an \textit{average} of individual cau…