144 citations · 256 across the 17 of their papers we have counts for
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stat.AP2023
Diagnosing the role of observable distribution shift in scientific replications
Ying Jin, Kevin Guo, Dominik Rothenhäusler
Many researchers have identified distribution shift as a likely contributor to the reproducibility crisis in behavioral and biomedical sciences. The idea is that if treatment effec…
stat.ME2023
Model-free selective inference under covariate shift via weighted conformal p-values
Ying Jin, Emmanuel J. Candès
This paper introduces novel weighted conformal p-values and methods for model-free selective inference. The problem is as follows: given test units with covariates and missing…
cs.LG2023★ 13 cited
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Kexin Huang, Ying Jin, Emmanuel Candès +1
Graph Neural Networks (GNNs) are powerful machine learning prediction models on graph-structured data. However, GNNs lack rigorous uncertainty estimates, limiting their reliable de…