4 citations · 8 across the 5 of their papers we have counts for
5 papers
On Fisher Consistency of Surrogate Losses for Optimal Dynamic Treatment Regimes with Multiple Categorical Treatments per Stage
Nilanjana Laha, Nilson Chapagain, Victoria Cicherski +1
Patients with chronic diseases often receive treatments at multiple time points, or stages. Our goal is to learn the optimal dynamic treatment regime (DTR) from longitudinal patien…
Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects
Aaron Sonabend, Jiangshan Zhang, Edgar Castro +3
Humans are exposed to complex mixtures of environmental pollutants rather than single chemicals, necessitating methods to quantify the health effects of such mixtures. Research on…
Federated Offline Reinforcement Learning
Doudou Zhou, Yufeng Zhang, Aaron Sonabend-W +3
Evidence-based or data-driven dynamic treatment regimes are essential for personalized medicine, which can benefit from offline reinforcement learning (RL). Although massive health…
Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss
Nilanjana Laha, Aaron Sonabend-W, Rajarshi Mukherjee +1
Large health care data repositories such as electronic health records (EHR) open new opportunities to derive individualized treatment strategies for complicated diseases such as se…
Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan +2
Reinforcement learning (RL) has shown great success in estimating sequential treatment strategies which take into account patient heterogeneity. However, health-outcome information…