9 citations · 18 across the 9 of their papers we have counts for
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stat.ME2023★ 9 cited
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan +2
Random forests (RFs) are among the most popular supervised learning algorithms due to their nonlinear flexibility and ease-of-use. However, as black box models, they can only be in…
stat.ME2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Consider a setting where there are heterogeneous units and interventions. Our goal is to learn unit-specific potential outcomes for any combination of these interventio…