| D-VAE: A Variational Autoencoder for Directed Acyclic Graphs | Apr 24, 2019 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior | May 29, 2024 | Adversarial AttackBayesian Optimization | CodeCode Available | 0 | 5 |
| Expected Improvement versus Predicted Value in Surrogate-Based Optimization | Jan 9, 2020 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces | Dec 21, 2024 | Bayesian OptimizationRepresentation Learning | CodeCode Available | 0 | 5 |
| Diagnosing and fixing common problems in Bayesian optimization for molecule design | Jun 11, 2024 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Demystifying the Adversarial Robustness of Random Transformation Defenses | Jun 18, 2022 | Adversarial RobustnessAutonomous Vehicles | CodeCode Available | 0 | 5 |
| Discovering Many Diverse Solutions with Bayesian Optimization | Oct 20, 2022 | Bayesian OptimizationDiversity | CodeCode Available | 0 | 5 |
| A sampling criterion for constrained Bayesian optimization with uncertainties | Mar 9, 2021 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Deep Gaussian Processes for Multi-fidelity Modeling | Mar 18, 2019 | Bayesian OptimizationDecision Making | CodeCode Available | 0 | 5 |
| Deep Generative Models for Subgraph Prediction | Aug 7, 2024 | Bayesian OptimizationGraph Learning | CodeCode Available | 0 | 5 |