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Donglin Zeng

4 accepted papers

2022

Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion

NeurIPS 2022accept

Learning an optimal Individualized Treatment Rule (ITR) is a very important problem in precision medicine. This paper is concerned with the challenge when the number of treatment arms is large, and some groups of treatments in the large treatment space may work similarly for the patients. Motivated…

Cited by 36SourcePDFScholar
2021

Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model

NeurIPS 2021poster

COVID-19 pandemic has caused unprecedented negative impacts on our society, including further exposing inequity and disparity in public health. To study the impact of socioeconomic factors on COVID transmission, we first propose a spatial-temporal model to examine the socioeconomic heterogeneity and…

Cited by 2SourcePDFScholar
2020

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment

NeurIPS 2020poster

For mental disorders, patients' underlying mental states are non-observed latent constructs which have to be inferred from observed multi-domain measurements such as diagnostic symptoms and patient functioning scores. Additionally, substantial heterogeneity in the disease diagnosis between patients…

Cited by 5SourcePDFScholar