ZaliQL: Causal Inference from Observational Data at Scale

By Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu. 2017

8 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexander Volfovsky
2. Sudeepa Roy
3. Cynthia Rudin
4. Tong Wang
5. Octavio Loyola-González
6. Berk Ustun
7. Lesia Semenova
8. Chudi Zhong

In Statistics and Probability

1. Cynthia Rudin
2. Alexander Volfovsky
3. Sudeepa Roy
4. Berk Ustun
5. Harsh Parikh
6. Kush R. Varshney
7. Nadia Burkart
8. Marco F. Huber

Citations in the corpus

• FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference (2017, background): “In a recent work (Salimi et al., 2017), various existing causal inference techniques have been efficiently implemented in a database-based engine.”