tidyHEBO: Improving the Robustness of Heteroskedastic Evolutionary Bayesian Optimization

arXiv:2607.10669 · cs.LG · Submitted 2026-07-12 · Read on arXiv

cs.LG

Submitted: 2026-07-12

Updated: 2026-10-14

Code: https://github.com/Ch-LZ/tidyhebo

Terminology

• Bayesian Optimization — 32× in this paper · explained in 3 episodes
• Benchmark — 21× in this paper · explained in 2 episodes
• Acquisition Function — 18× in this paper · explained in 1 episode
• Robustness — 12× in this paper · explained in 5 episodes
• Benchmarking — 9× in this paper · explained in 3 episodes
• Non-stationarity — 9× in this paper · explained in 2 episodes
• Multi-objective Optimization — 3× in this paper · explained in 4 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Optimization (BO) — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• So Yeo-Johnson — 1× in this paper
• Treestructured Parzen Estimator — 1× in this paper

Sources

• Bayesian Optimization using Deep Gaussian Processes
• Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
• BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
• Practical Bayesian Optimization of Machine Learning Algorithms
• Vanilla Bayesian Optimization Performs Great in High Dimensions
• Unexpected Improvements to Expected Improvement for Bayesian Optimization
• Bayesian Optimization of Composite Functions
• Scikit-learn: Machine Learning in Python

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