Publications

• Scalable vision-guided crop yield estimation
  Harrison H. Li, Medhanie Irgau, Nabil Janmohamed, Karen Solveig Rieckmann, David B. Lobell. Proceedings of the AAAI Conference on Artificial Intelligence (to appear).

• Double machine learning and design in batch adaptive experiments
  Harrison H. Li and Art B. Owen. Journal of Causal Inference, 2024. Journal link

• A general characterization of optimal tie-breaker designs
  Harrison H. Li and Art B. Owen. Annals of Statistics, 2023. Journal link

• Suppression of Arctic air formation with climate warming: Investigation with a two-dimensional cloud-resolving model
  Timothy W. Cronin, Harrison H. Li and Eli Tziperman. Journal of Atmospheric Sciences, 2017

• Future changes in convective storm days over the Northeastern United States using linear discriminant analysis applied to CMIP5 predictions
  Harrison H. Li and Brian A. Colle. Journal of Climate, 2016

• Multidecadal changes in the frequency and ambient conditions of warm season convective storms over the Northeastern United States
  Harrison H. Li and Brian A. Colle. Journal of Climate, 2014

Technical reports

• Setting the duration of online A/B experiments
  Harrison H. Li and Chaoyu Yu (2024)

• Efficient estimation and data fusion under general semiparametric restrictions on outcome mean functions
  Harrison H. Li (2024)

• RbX: Region-based explanations of prediction models
  Ismael Lemhadri, Harrison H. Li and Trevor Hastie (2022)