| An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization | Apr 15, 2025 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization | Jul 13, 2017 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Discovering Many Diverse Solutions with Bayesian Optimization | Oct 20, 2022 | Bayesian OptimizationDiversity | CodeCode Available | 0 | 5 |
| Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design | Jun 25, 2023 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation | May 18, 2024 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation | Jan 27, 2020 | Active LearningBayesian Optimization | CodeCode Available | 0 | 5 |
| Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach | Jun 9, 2023 | Active LearningBayesian Optimisation | CodeCode Available | 0 | 5 |
| Early Stopping Bayesian Optimization for Controller Tuning | Jan 20, 2025 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Batched High-dimensional Bayesian Optimization via Structural Kernel Learning | Mar 6, 2017 | Bayesian OptimizationPoint Processes | CodeCode Available | 0 | 5 |
| Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization | Feb 16, 2023 | Bayesian Optimization | CodeCode Available | 0 | 5 |
