January 1, 2025Open Access

Choosing a suitable acquisition function for batch Bayesian optimization: comparison of serial and Monte Carlo approaches

Key Points

Key points are not available for this paper at this time.

Abstract

Batch Bayesian optimization is widely used for optimizing expensive experimental processes when several samples can be tested together to save time or cost.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Imon Mia

The University of Texas at Dallas

Mark Lee

GlobalFoundries (Singapore)

Weijie Xu

National Clinical Research Center for Digestive Diseases

Journals

Digital Discovery

Actions

Institutions

The University of Texas at Dallas

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Choosing a suitable acquisition function for batch Bayesian optimization: comparison of serial and Monte Carlo approaches

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study