Bayesian optimization (BO) can help determine the optimal deposition conditions for high-performance passivation films in solar cells. However, simple implementations tend to suggest excessively ...

At its core, BoTorch — and Bayesian optimization in general — is all about making model optimizing easier and faster for data scientists to get to a production-ready model.

We present a Bayesian approach to model calibration when evaluation of the model is computationally expensive. Here, calibration is a nonlinear regression problem: given a data vector Y corresponding ...

Xiqun (Michael) Chen, Xiang He, Chenfeng Xiong, Zheng Zhu, Lei Zhang, A Bayesian Stochastic Kriging Optimization Model Dealing with Heteroscedastic Simulation Noise for Freeway Traffic Management, ...