Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design explores A novel approach to batch Bayesian optimal experimental design that optimizes expected utility through Wasserstein gradient flows.. Commercial viability score: 4/10 in Bayesian Optimization.
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