| BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits | May 29, 2014 | Bayesian OptimizationExperimental Design | CodeCode Available | 0 | 5 |
| Deep Generative Models for Subgraph Prediction | Aug 7, 2024 | Bayesian OptimizationGraph Learning | CodeCode Available | 0 | 5 |
| Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers | Nov 29, 2021 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 0 | 5 |
| DEEP-BO for Hyperparameter Optimization of Deep Networks | May 23, 2019 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 0 | 5 |
| Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints | Sep 1, 2020 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Improved Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints | Nov 2, 2020 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Deep Collective Matrix Factorization for Augmented Multi-View Learning | Nov 28, 2018 | Bayesian OptimizationMatrix Completion | CodeCode Available | 0 | 5 |
| Demystifying the Adversarial Robustness of Random Transformation Defenses | Jun 18, 2022 | Adversarial RobustnessAutonomous Vehicles | CodeCode Available | 0 | 5 |
| Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework | Mar 26, 2025 | Bayesian OptimizationSequential Decision Making | CodeCode Available | 0 | 5 |
| Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal | Oct 14, 2024 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 0 | 5 |
