19 citations · 53 across the 13 of their papers we have counts for
Showing 2020Show all
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stat.ME2020★ 1 cited
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu, Divyat Mahajan, Liz Manrao +2
For many kinds of interventions, such as a new advertisement, marketing intervention, or feature recommendation, it is important to target a specific subset of people for maximizin…
stat.ME2020★ 15 cited
DoWhy: An End-to-End Library for Causal Inference
Amit Sharma, Emre Kiciman
In addition to efficient statistical estimators of a treatment's effect, successful application of causal inference requires specifying assumptions about the mechanisms underlying…
cs.CV2020★ 3 cited
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash, Vineeth N Balasubramanian, Amit Sharma
Counterfactual examples for an input -- perturbations that change specific features but not others -- have been shown to be useful for evaluating bias of machine learning models, e…