| Scalable Hyperparameter Transfer Learning | Dec 1, 2018 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 | 0 |
| Scalable Meta-Learning with Gaussian Processes | Dec 1, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 | 0 |
| Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval | May 1, 2025 | Bayesian OptimizationInformation Retrieval | —Unverified | 0 | 0 |
| Scaling Bayesian Optimization With Game Theory | Oct 7, 2021 | Bayesian Optimization | —Unverified | 0 | 0 |
| Scaling Gaussian Processes with Derivative Information Using Variational Inference | Jul 8, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 | 0 |
| Searching for ribbons with machine learning | Apr 18, 2023 | Bayesian Optimizationreinforcement-learning | —Unverified | 0 | 0 |
| Searching in the Forest for Local Bayesian Optimization | Nov 10, 2021 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 | 0 |
| Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization | Jan 23, 2025 | Bayesian Optimization | —Unverified | 0 | 0 |
| Self-Correcting Bayesian Optimization through Bayesian Active Learning | Apr 21, 2023 | Active LearningBayesian Optimization | —Unverified | 0 | 0 |
| Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation | Dec 5, 2024 | Bayesian Optimization | —Unverified | 0 | 0 |
