485 citations · 878 across the 26 of their papers we have counts for
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Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function
Piyush Pandita, Ilias Bilionis, Jitesh Panchal
Bayesian optimal design of experiments (BODE) has been successful in acquiring information about a quantity of interest (QoI) which depends on a black-box function. BODE is charact…
Stochastic Multi-objective Optimization on a Budget: Application to multi-pass wire drawing with quantified uncertainties
Piyush Pandita, Ilias Bilionis, Jitesh Panchal +3
Design optimization of engineering systems with multiple competing objectives is a painstakingly tedious process especially when the objective functions are expensive-to-evaluate c…
Extending Expected Improvement for High-dimensional Stochastic Optimization of Expensive Black-Box Functions
Piyush Pandita, Ilias Bilionis, Jitesh Panchal
Design optimization under uncertainty is notoriously difficult when the objective function is expensive to evaluate. State-of-the-art techniques, e.g, stochastic optimization or sa…