All Stories

  1. Context, Composition, Automation, and Communication: The C 2 AC Roadmap for Modeling and Simulation
  2. Dynamic Pricing Provides Robust Equilibria in Stochastic Ride-Sharing Networks
  3. Modeling for COVID-19 college reopening decisions: Cornell, a case study
  4. Mean Field Equilibria for Competitive Exploration in Resource Sharing Settings
  5. Bayesian Optimization via Simulation with Pairwise Sampling and Correlated Prior Beliefs
  6. A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution
  7. A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection
  8. Sequential Bayes-Optimal Policies for Multiple Comparisons with a Known Standard
  9. Sequential Sampling with Economics of Selection Procedures
  10. The Knowledge Gradient Algorithm for a General Class of Online Learning Problems
  11. The Knowledge-Gradient Algorithm for Sequencing Experiments in Drug Discovery
  12. Paradoxes in Learning and the Marginal Value of Information
  13. The Knowledge-Gradient Policy for Correlated Normal Beliefs
  14. Optimal Learning