4 papers
Realistic CDSS Drug Dosing with End-to-end Recurrent Q-learning for Dual Vasopressor Control
Will Y. Zou, Jean Feng, Alexandre Kalimouttou +3
Reinforcement learning (RL) applications in Clinical Decision Support Systems (CDSS) frequently encounter skepticism because models may recommend inoperable dosing decisions. We pr…
Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
Jennifer Y. Zhang, Shuyang Du, Will Y. Zou
As estimation of Heterogeneous Treatment Effect (HTE) is increasingly adopted across a wide range of scientific and industrial applications, the treatment action space can naturall…
Heterogeneous Causal Learning for Optimizing Aggregated Functions in User Growth
Shuyang Du, Jennifer Zhang, Will Y. Zou
User growth is a major strategy for consumer internet companies. To optimize costly marketing campaigns and maximize user engagement, we propose a novel treatment effect optimizati…
Neural Inhibition Improves Dynamic Routing and Mixture of Experts
Will Y. Zou, Jennifer Y. Zhang
To be effective, efficient, and diverse, deep learning models need to dynamically choose its architecture based on signals from a population of neurons. We hypothesize dynamic rout…