144 citations · 256 across the 17 of their papers we have counts for
4 papers · 1 filter
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
Ying Jin, Zhimei Ren, Zhuoran Yang +1
This paper studies offline policy learning, which aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn an optimal…
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
Ying Jin, Dominik Rothenhäusler
This paper develops a new framework, called modular regression, to utilize auxiliary information -- such as variables other than the original features or additional data sets -- in…
Selection by Prediction with Conformal p-values
Ying Jin, Emmanuel J. Candès
Decision making or scientific discovery pipelines such as job hiring and drug discovery often involve multiple stages: before any resource-intensive step, there is often an initial…
Sensitivity analysis under the -sensitivity models: a distributional robustness perspective
Ying Jin, Zhimei Ren, Zhengyuan Zhou
This paper introduces the -sensitivity model, a new sensitivity model that characterizes the violation of unconfoundedness in causal inference. It assumes the selection bias due…