1 citations · 2 across the 4 of their papers we have counts for
4 papers
Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
Eric Pulick, Stephanie Carpenter, Matthew Buman +1
A critical challenge facing clinicians managing chronic disease interventions is sustaining long-run patient health given limited information and resources. Digital therapeutics (D…
Prescriptive Optimization for Adaptive Auto-insurance Pricing with Telematics Data
Qinyang He, Yonatan Mintz
Usage-based insurance (UBI) uses telematics to align premiums with risk and encourage safe driving. However, deploying these programs is challenging due to heavy-tailed claim costs…
Applications of 0-1 Neural Networks in Prescription and Prediction
Vrishabh Patil, Kara Hoppe, Yonatan Mintz
A key challenge in medical decision making is learning treatment policies for patients with limited observational data. This challenge is particularly evident in personalized healt…
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules
Eric Pulick, Vladimir Menkov, Yonatan Mintz +2
Reliable real-world deployment of reinforcement learning (RL) methods requires a nuanced understanding of their strengths and weaknesses and how they compare to those of humans. Hu…