| Freeze-Thaw Bayesian Optimization | Jun 16, 2014 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Hyperparameter Optimization: A Spectral Approach | Jun 2, 2017 | Bayesian Optimizationcompressed sensing | CodeCode Available | 0 | 5 |
| Early Stopping Bayesian Optimization for Controller Tuning | Jan 20, 2025 | Bayesian Optimization | 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 |
| DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks | Feb 1, 2025 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Don't Waste Your Time: Early Stopping Cross-Validation | May 6, 2024 | Bayesian OptimizationModel Selection | CodeCode Available | 0 | 5 |
| D-VAE: A Variational Autoencoder for Directed Acyclic Graphs | Apr 24, 2019 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization | Jun 22, 2022 | Bayesian Optimization | CodeCode Available | 0 | 5 |
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| A sampling criterion for constrained Bayesian optimization with uncertainties | Mar 9, 2021 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization | Jul 13, 2017 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Distributed Thompson sampling under constrained communication | Oct 21, 2024 | Bayesian OptimizationThompson Sampling | CodeCode Available | 0 | 5 |
| Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach | Jun 9, 2023 | Active LearningBayesian Optimisation | CodeCode Available | 0 | 5 |
| A Robust Experimental Evaluation of Automated Multi-Label Classification Methods | May 16, 2020 | AutoMLBayesian Optimization | CodeCode Available | 0 | 5 |
| Discovering Many Diverse Solutions with Bayesian Optimization | Oct 20, 2022 | Bayesian OptimizationDiversity | 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 |
| A Programmable Approach to Neural Network Compression | Nov 6, 2019 | Bayesian OptimizationImage Classification | 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 |
| Domain Invariant Learning for Gaussian Processes and Bayesian Exploration | Dec 18, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 | 5 |
| Diagnosing and fixing common problems in Bayesian optimization for molecule design | Jun 11, 2024 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Bayesian Optimization for Parameter Tuning of the XOR Neural Network | Sep 22, 2017 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Demystifying the Adversarial Robustness of Random Transformation Defenses | Jun 18, 2022 | Adversarial RobustnessAutonomous Vehicles | CodeCode Available | 0 | 5 |
| Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning | Jul 31, 2019 | Bayesian OptimizationDeep Learning | CodeCode Available | 0 | 5 |
| Deep Neural Architecture Search with Deep Graph Bayesian Optimization | May 14, 2019 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 | 5 |
| Deep Generative Models for Subgraph Prediction | Aug 7, 2024 | Bayesian OptimizationGraph Learning | CodeCode Available | 0 | 5 |
