957 citations · 1.4k across the 39 of their papers we have counts for
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Invariant Representation Learning for Treatment Effect Estimation
Claudia Shi, Victor Veitch, David Blei
The defining challenge for causal inference from observational data is the presence of `confounders', covariates that affect both treatment assignment and the outcome. To address t…
Text-Based Ideal Points
Keyon Vafa, Suresh Naidu, David M. Blei
Ideal point models analyze lawmakers' votes to quantify their political positions, or ideal points. But votes are not the only way to express a political position. Lawmakers also g…
Towards Clarifying the Theory of the Deconfounder
Yixin Wang, David M. Blei
Wang and Blei (2019) studies multiple causal inference and proposes the deconfounder algorithm. The paper discusses theoretical requirements and presents empirical studies. Several…
Markovian Score Climbing: Variational Inference with KL(p||q)
Christian A. Naesseth, Fredrik Lindsten, David Blei
Modern variational inference (VI) uses stochastic gradients to avoid intractable expectations, enabling large-scale probabilistic inference in complex models. VI posits a family of…