Optimal experimental design: Formulations and computations
Questions of 'how best to acquire data'are essential to modelling and prediction in the
natural and social sciences, engineering applications, and beyond. Optimal experimental …
natural and social sciences, engineering applications, and beyond. Optimal experimental …
Experimentation platforms meet reinforcement learning: Bayesian sequential decision-making for continuous monitoring
With the growing needs of online A/B testing to support the innovation in industry, the
opportunity cost of running an experiment becomes non-negligible. Therefore, there is an …
opportunity cost of running an experiment becomes non-negligible. Therefore, there is an …
Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning
Alerting the public when heat may harm their health is a crucial service, especially
considering that extreme heat events will be more frequent under climate change. Current …
considering that extreme heat events will be more frequent under climate change. Current …