3 citations · 6 across the 4 of their papers we have counts for
4 papers
Online Data Collection for Efficient Semiparametric Inference
Shantanu Gupta, Zachary C. Lipton, David Childers
While many works have studied statistical data fusion, they typically assume that the various datasets are given in advance. However, in practice, estimation requires difficult dat…
Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta, David Childers, Zachary C. Lipton
Even when the causal graph underlying our data is unknown, we can use observational data to narrow down the possible values that an average treatment effect (ATE) can take by (1) i…
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta, Zachary C. Lipton, David Childers
Researchers often face data fusion problems, where multiple data sources are available, each capturing a distinct subset of variables. While problem formulations typically take the…
Estimating Treatment Effects with Observed Confounders and Mediators
Shantanu Gupta, Zachary C. Lipton, David Childers
Given a causal graph, the do-calculus can express treatment effects as functionals of the observational joint distribution that can be estimated empirically. Sometimes the do-calcu…