| Policy Transfer via Kinematic Domain Randomization and Adaptation | Nov 3, 2020 | Bayesian OptimizationDomain Adaptation | CodeCode Available | 1 | 5 |
| Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization | Feb 24, 2025 | Bayesian OptimizationUncertainty Quantification | CodeCode Available | 1 | 5 |
| AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly | May 22, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 | 5 |
| Constrained Causal Bayesian Optimization | May 31, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars | Nov 3, 2022 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Protein Design with Guided Discrete Diffusion | May 31, 2023 | Bayesian OptimizationDenoising | CodeCode Available | 1 | 5 |
| Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization | Jun 17, 2022 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index | Jun 28, 2024 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization | Jan 31, 2020 | Bayesian OptimizationMisconceptions | CodeCode Available | 1 | 5 |
| High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy | Feb 5, 2024 | Bayesian Optimization | CodeCode Available | 1 | 5 |
