1 citations · 1 across the 5 of their papers we have counts for
5 papers
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
David O'Gara, Arindam Fadikar, Mickaël Binois +2
Stochastic simulators are increasingly used to expand the frontier of scientific knowledge and inform decision-making across real-world contexts. Simulator calibration, a process b…
Staying on Track: Efficient Trajectory Discovery with Adaptive Batch Sampling
Arindam Fadikar, Abby Stevens, Mickael Binois +3
Bayesian optimization (BO) is a powerful framework for estimating parameters of expensive simulation models, particularly in settings where the likelihood is intractable and evalua…
Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis
David O'Gara, Matt Kasman, Matthew D. Haslam +1
Mathematical models are a powerful tool to study infectious disease dynamics and intervention strategies against them in social systems. However, due to their detailed implementati…
Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study
David O'Gara, Cliff C. Kerr, Daniel J. Klein +3
Advances in computing power and data availability have led to growing sophistication in mechanistic mathematical models of social dynamics. Increasingly these models are used to in…
TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States
David O'Gara, Samuel F. Rosenblatt, Laurent Hébert-Dufresne +3
The Omicron wave was the largest wave of COVID-19 pandemic to date, more than doubling any other in terms of cases and hospitalizations in the United States. In this paper, we pres…