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20182023
most citedLarge Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

32 citations · 46 across the 18 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

stat.ME2022★ 1 cited

Towards R-learner with Continuous Treatments

Yichi Zhang, Dehan Kong, Shu Yang

The R-learner is widely used in causal inference due to its flexibility and efficiency in estimating the conditional average treatment effect. However, extending the R-learner fram…

stat.ME2022★ 2 cited

Fighting Noise with Noise: Causal Inference with Many Candidate Instruments

Xinyi Zhang, Linbo Wang, Stanislav Volgushev +1

Instrumental variable methods provide useful tools for inferring causal effects in the presence of unmeasured confounding. To apply these methods with large-scale data sets, a majo…