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| Efficient Automated Deep Learning for Time Series Forecasting | May 11, 2022 | AutoMLBayesian Optimization | CodeCode Available | 4 |
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| syftr: Pareto-Optimal Generative AI | May 26, 2025 | Bayesian OptimizationRAG | CodeCode Available | 3 |
| Model-based Asynchronous Hyperparameter and Neural Architecture Search | Mar 24, 2020 | AutoMLBayesian Optimization | CodeCode Available | 3 |
| BoFire: Bayesian Optimization Framework Intended for Real Experiments | Aug 9, 2024 | Bayesian Optimization | CodeCode Available | 3 |
| Efficient and Robust Automated Machine Learning | Dec 1, 2015 | AutoMLBayesian Optimization | CodeCode Available | 3 |
| Evolve Cost-aware Acquisition Functions Using Large Language Models | Apr 25, 2024 | Bayesian OptimizationDecision Making | CodeCode Available | 3 |
| A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning | Dec 12, 2010 | Bayesian OptimizationHierarchical Reinforcement Learning | CodeCode Available | 2 |
| Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement | May 17, 2021 | Bayesian Optimization | CodeCode Available | 2 |
| SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization | Sep 20, 2021 | AutoMLBayesian Optimization | CodeCode Available | 2 |
| Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow | Feb 16, 2023 | Active LearningBayesian Optimization | CodeCode Available | 2 |
| LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms | May 27, 2025 | Bayesian OptimizationBenchmarking | CodeCode Available | 2 |
| High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft | Nov 10, 2023 | Bayesian OptimizationCantilever Beam | CodeCode Available | 2 |
| Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental Sciences | Feb 4, 2025 | Bayesian OptimizationExperimental Design | CodeCode Available | 2 |
| Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization | Jun 9, 2020 | Bayesian OptimizationSecond-order methods | CodeCode Available | 2 |
| BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization | Oct 14, 2019 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 2 |
| BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments | May 27, 2024 | AI AgentBayesian Optimization | CodeCode Available | 2 |
| Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 | Apr 20, 2021 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 2 |
| Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis | Mar 21, 2024 | Bayesian Optimization | CodeCode Available | 2 |
| Transductive Active Learning: Theory and Applications | Feb 13, 2024 | Active LearningBayesian Optimization | CodeCode Available | 2 |
| Large Language Models to Enhance Bayesian Optimization | Feb 6, 2024 | Bayesian OptimizationFew-Shot Learning | CodeCode Available | 2 |
| Multi-Fidelity Active Learning with GFlowNets | Jun 20, 2023 | Active LearningBayesian Optimization | CodeCode Available | 2 |
| One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization | Feb 15, 2022 | AllBayesian Optimization | CodeCode Available | 2 |
| Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models | May 21, 2025 | Bayesian OptimizationSpeech Synthesis | CodeCode Available | 1 |
