183 citations · 521 across the 26 of their papers we have counts for
7 papers · 1 filter
The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019)
Yixin Wang, David M. Blei
Ogburn et al. (2019, arXiv:1910.05438) discuss "The Blessings of Multiple Causes" (Wang and Blei, 2018, arXiv:1805.06826). Many of their remarks are interesting. But they also clai…
Multiple Causes: A Causal Graphical View
Yixin Wang, David M. Blei
Unobserved confounding is a major hurdle for causal inference from observational data. Confounders---the variables that affect both the causes and the outcome---induce spurious non…
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Yixin Wang, Dhanya Sridhar, David M. Blei
Machine learning (ML) can automate decision-making by learning to predict decisions from historical data. However, these predictors may inherit discriminatory policies from past de…
Large Sample Properties of Matching for Balance
Yixin Wang, José R. Zubizarreta
Matching methods are widely used for causal inference in observational studies. Among them, nearest neighbor matching is arguably the most popular. However, nearest neighbor matchi…
Variational Bayes under Model Misspecification
Yixin Wang, David M. Blei
Variational Bayes (VB) is a scalable alternative to Markov chain Monte Carlo (MCMC) for Bayesian posterior inference. Though popular, VB comes with few theoretical guarantees, most…
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
Linying Zhang, Yixin Wang, Anna Ostropolets +3
The treatment effects of medications play a key role in guiding medical prescriptions. They are usually assessed with randomized controlled trials (RCTs), which are expensive. Rece…
Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch, Yixin Wang, David M. Blei
We consider causal inference in the presence of unobserved confounding. We study the case where a proxy is available for the unobserved confounding in the form of a network connect…