qPOTS: A Python Package for Sample-efficient Batch Constrained Multiobjective Bayesian Optimization

Python Submitted 14 June 2026Published 22 September 2026
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Editor: @fabian-s (all papers)
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Authors

Ashwin Renganathan (0000-0001-6948-6932), Peter E. Bachman, Kade E. Carlson

Citation

Renganathan et al., (2026). qPOTS: A Python Package for Sample-efficient Batch Constrained Multiobjective Bayesian Optimization. Journal of Open Source Software, 11(125), 10867, https://doi.org/10.21105/joss.10867

@article{Renganathan2026, doi = {10.21105/joss.10867}, url = {https://doi.org/10.21105/joss.10867}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {125}, pages = {10867}, author = {Renganathan, Ashwin and Bachman, Peter E. and Carlson, Kade E.}, title = {qPOTS: A Python Package for Sample-efficient Batch Constrained Multiobjective Bayesian Optimization}, journal = {Journal of Open Source Software} }
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Bayesian optimization multiobjective optimization Gaussian process Thompson sampling decoupled evaluations

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