144 citations · 256 across the 17 of their papers we have counts for
4 papers · 1 filter
Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach
Ying Jin, Zhimei Ren, Emmanuel J. Candès
We propose a model-free framework for sensitivity analysis of individual treatment effects (ITEs), building upon ideas from conformal inference. For any unit, our procedure reports…
Towards Optimal Variance Reduction in Online Controlled Experiments
Ying Jin, Shan Ba
We study optimal variance reduction solutions for count and ratio metrics in online controlled experiments. Our methods leverage flexible machine learning tools to incorporate cova…
Contemporary Symbolic Regression Methods and their Relative Performance
William La Cava, Patryk Orzechowski, Bogdan Burlacu +5
Many promising approaches to symbolic regression have been presented in recent years, yet progress in the field continues to suffer from a lack of uniform, robust, and transparent…
Tailored inference for finite populations: conditional validity and transfer across distributions
Ying Jin, Dominik Rothenhäusler
Parameters of sub-populations can be more relevant than super-population ones. For example, a healthcare provider may be interested in the effect of a treatment plan for a specific…