Variational Bayesian Methods for Stochastically Constrained System Design Problems

2nd Symposium on Advances in Approximate Bayesian Inference, 2019 We study system design problems stated as parameterized stochastic programs with a chance-constraint set. We adopt a Bayesian approach that requires the computation of a posterior predictive integral which is usually intractable. In a...

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Hauptverfasser:	Jaiswal, Prateek, Honnappa, Harsha, Rao, Vinayak A
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
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