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12/10/2021
On the Assumptions of Synthetic Control Methods
Synthetic control (SC) methods have been widely applied to estimate the ...
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09/02/2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
A fundamental goal of scientific research is to learn about causal relat...
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10/24/2020
Causal Effects of Linguistic Properties
We consider the problem of estimating the causal effects of linguistic p...
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06/19/2020
Valid Causal Inference with (Some) Invalid Instruments
Instrumental variable methods provide a powerful approach to estimating ...
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06/10/2019
Estimating Causal Effects of Tone in Online Debates
Statistical methods applied to social media posts shed light on the dyna...
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05/29/2019
Using Text Embeddings for Causal Inference
We address causal inference with text documents. For example, does addin...
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05/26/2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Machine learning (ML) can automate decision-making by learning to predic...
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07/03/2018
Scalable Structure Learning for Probabilistic Soft Logic
Statistical relational frameworks such as Markov logic networks and prob...
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11/16/2017
Using Noisy Extractions to Discover Causal Knowledge
Knowledge bases (KB) constructed through information extraction from tex...
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07/02/2016