3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Compositional Models for Estimating Causal Effects
Purva Pruthi, David Jensen
Many real-world systems can be usefully represented as sets of interacting components. Examples include computational systems, such as query processors and compilers, natural syste…
stat.ME2020★ 3 cited
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda Gentzel, Purva Pruthi, David Jensen
Methods that infer causal dependence from observational data are central to many areas of science, including medicine, economics, and the social sciences. A variety of theoretical…
cs.LG2020★ 1 cited
Structure Mapping for Transferability of Causal Models
Purva Pruthi, Javier González, Xiaoyu Lu +1
Human beings learn causal models and constantly use them to transfer knowledge between similar environments. We use this intuition to design a transfer-learning framework using obj…