Sampling Surrogate Based Optimization I

Summary

Simulation models are widely used in practice to facilitate decision-making in a complex, dynamic and stochastic environment. In this lecture for Stanford's AA 222 / CS 361 Engineering Design Abstract: Probabilistic numerics provides a narrative to extend our traditional approach of uncertainty about data to uncertainty ... Welcome to video of the Adaptive Experimentation series, presented by graduate student Sterling Baird at the ... So the idea is to do a sequential Infill, exploitation and exploration, basic algorithm, expected improvement. Speaker: Juli Mueller U.S. National Renewable Energy Laboratory Summary: Computationally expensive black-box The talk by Carl Henrik Ek at the Probabilistic Numerics Spring School 2023 in Tübingen, on 29 March 2023. Further videos from ... In this talk from May 27th, 2021, Romit Maulik of Argonne National Laboratory discusses recent results from the use of parallelized ...