Structural Diversity Diagnostic

How it works

Evidence quality

Highlighted claims

• The Structural Diversity Diagnostic fixes deterministic optimizer starting points to separate surrogate structure from optimizer randomness. — Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
• Under the diagnostic, observed diversity must come from the surrogate response to pseudo-observations. — Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
• The diagnostic confirmed that GP and MQ-RBF are diverse while NN and random forest models are not across five seeds. — Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
• Pre-drawn random restarts did not restore diversity for neural networks or random forests. — Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not