Research map / Probabilistic and scientific modeling / Bayesian optimization
Differentiable Multi-Target Causal Bayesian Experimental Design
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace greedy/black-box design with gradient-based joint optimization of multi-target states (diffCBED) vs. SSGb fixed-state baseline | multi-target batch design, 40-node graphs · Multi-target graphs, 40 nodes | E-SHD: 0.44 vs 15.59 | Helped |
| Gradient-based design with learned states vs. fixed-state SSGb baseline | multi-target batch design, 40-node graphs · Multi-target graphs, 40 nodes | iMMD: 0.07 vs 0.10 | Helped |
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