On Information Gain and Regret Bounds in Gaussian Process Bandits

Risk-Sensitive Learning and Pricing for Demand Response

COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks

Outer Bounds on the Admissible Source Region for Broadcast Channels With Correlated Sources

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records

Reinforcement Learning for Clinical Applications.

Predicting risk of delirium from ambient noise and light information in the ICU