Research map / Probabilistic and scientific modeling / Bayesian optimization
Bayesian Optimization-Based Combinatorial Assignment
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use an uncertainty-bound acquisition function instead of mean predictions | MLCA · LSVM | efficiency loss (%): 00.70±0.40 -> 0.39±0.30 | No clear effect |
| Use an uncertainty-bound acquisition function instead of mean predictions | MLCA · SRVM | efficiency loss (%): 00.23±0.06 -> 0.06±0.02 | Helped |
| Use an uncertainty-bound acquisition function instead of mean predictions | MLCA · MRVM | efficiency loss (%): 08.16±0.41 -> 7.77±0.34 | No clear effect |
| Use an uncertainty-bound acquisition function instead of mean predictions | MLCA · LSVM, SRVM, MRVM | efficiency loss (%): 02.91±1.44 -> 0.39±0.30; 01.13±0.22 -> 0.06±0.02; 09.05±0.53 -> 7.77±0.34 | Helped |
| Use an uncertainty-bound acquisition function instead of mean predictions | MLCA · LSVM, SRVM, MRVM | efficiency loss (%): 01.54 ±0.65 -> 0.39±0.30; 00.72±0.16 -> 0.06±0.02; 10.37±0.57 -> 7.77±0.34 | Helped |
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