| Sample-Then-Optimize Batch Neural Thompson Sampling | Oct 13, 2022 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation | Jun 16, 2022 | Bayesian Optimizationglobal-optimization | CodeCode Available | 1 | 5 |
| Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing | Sep 16, 2022 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 | 5 |
| Smooth Variational Graph Embeddings for Efficient Neural Architecture Search | Oct 9, 2020 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Efficient Hyperparameter Optimization with Adaptive Fidelity Identification | Jan 1, 2024 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 1 | 5 |
| Active Offline Policy Selection | Jun 18, 2021 | Bayesian OptimizationOff-policy evaluation | CodeCode Available | 1 | 5 |
| Sparse Bayesian Optimization | Mar 3, 2022 | Bayesian OptimizationRecommendation Systems | CodeCode Available | 1 | 5 |
| Standard Gaussian Process Can Be Excellent for High-Dimensional Bayesian Optimization | Feb 5, 2024 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration | Dec 14, 2024 | Bayesian OptimizationDecision Making | CodeCode Available | 1 | 5 |
| Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization | Sep 22, 2015 | Bayesian OptimizationCombinatorial Optimization | CodeCode Available | 1 | 5 |
| Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters | Dec 1, 2020 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors | Oct 31, 2022 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Deep Pipeline Embeddings for AutoML | May 23, 2023 | Automatic Machine Learning Model SelectionAutoML | CodeCode Available | 1 | 5 |
| Directed Graph Grammars for Sequence-based Learning | May 29, 2025 | Bayesian OptimizationGraph Generation | CodeCode Available | 1 | 5 |
| Pre-trained Gaussian Processes for Bayesian Optimization | Sep 16, 2021 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Alignment of Density Maps in Wasserstein Distance | May 21, 2023 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Denoising Autoencoders for fast Combinatorial Black Box Optimization | Mar 6, 2015 | Bayesian OptimizationCombinatorial Optimization | CodeCode Available | 1 | 5 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization | Apr 25, 2024 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 1 | 5 |
| Differential Evolution for Neural Architecture Search | Dec 11, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| AdaLead: A simple and robust adaptive greedy search algorithm for sequence design | Oct 5, 2020 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? | Jun 8, 2023 | Bayesian OptimizationGPU | CodeCode Available | 1 | 5 |
| NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science | Apr 27, 2023 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization | Jul 13, 2017 | Bayesian Optimization | CodeCode Available | 0 | 5 |
