Recording Experimenters' Club Q3 2026: Bayesian Optimization use cases & Constrained DOE

maria_astals — Thu, 10 Sep 2026 08:11:54 GMT

Video 1: Question on Bayesian Optimization use cases

Victor: Maybe we can share the acquisition functions in the platform and start explaining them?

Yuliana: I am observing that agentic ai propose kind of surrogate DOE + gaussian process as active learning workstream of experimentation. I still have impression that BayesOpt on JMP performs better in case we want to go faster, and I still can not understand why... probably there are more acquisitions functions.

Answer: Depends also on the configuration of the Gaussian Process, and the acquisition functions worked by the JMP team are effective.

Video 2: Possible use case to use Bayesian Optimization

(view in My Videos)

Victor: Don't hesitate to mix approaches: start with small DOE's and continue with BO for example. Might not be appropriate with blocking or blocking with iteration.

Links:

Overview page: Bayesian optimization: Learn what Bayesian optimization is and how it helps scientists and engineers balance complex goals and find optimal solutions with fewer experiments.
Bayesian Optimization Batch Customizer : here are details about the batch customizer options and the different acquisition functions as Victor is explaining
Marketplace extension: Bayesian Optimization Simulator for JMP® Pro

Video 3: Constrained DoE - disallowed combinations, restrictions on responses, covariates

(view in My Videos)

Victor: If you don't have hard to change factors and you have multiple runs per batch, maybe using the "iteration" column as a block when running a regression model

Can you change the factors definition? Instead of having X1 and X2 and a constraint on the ratio, use the ratio and total quantity in your factors?

Yuliana: Is the ratio a linear constraint (system of 2 linear equations)?

Sometimes I use responses that you can get quickly as factors (in place of real factors) to modelize more complex response

Links:

Discovery Summit talk: https://community.jmp.com/t5/Abstracts/Synthetic-Chromatograms-A-New-Approach-to-Chromatographic/ev…
Case Study: Functional Data Analysis for HPLC Optimization
Talk from Frank at the Benelux user Group: https://community.jmp.com/t5/Benelux-JMP-Users-Group/Formulation-Mixture-Selection-to-Model-Relationships-Between-NIR/m-p/955063

topic Recording Experimenters' Club Q3 2026: Bayesian Optimization use cases & Constrained DOE in Design of Experiments Club Discussions

Recording Experimenters' Club Q3 2026: Bayesian Optimization use cases & Constrained DOE