Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

This paper considers data-driven chance-constrained stochastic optimization problems in a Bayesian framework. Bayesian posteriors afford a principled mechanism to incorporate data…