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05/26/2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Large language models (LLMs) have recently shown great potential for in-...
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08/01/2022
Towards R-learner of conditional average treatment effects with a continuous treatment: T-identification, estimation, and inference
The R-learner has been popular in causal inference as a flexible and eff...
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12/10/2020
The Promises of Parallel Outcomes
Unobserved confounding presents a major threat to the validity of causal...
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07/28/2020
Outcome model free causal inference with ultra-high dimensional covariates
Causal inference has been increasingly reliant on observational studies ...
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07/31/2019
