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| Black-Box Optimization with Local Generative Surrogates | Feb 11, 2020 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization | Sep 13, 2023 | Bayesian OptimizationGPU | CodeCode Available | 1 | 5 |
| AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning | Apr 25, 2020 | Bayesian OptimizationTransfer Learning | 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 |
| BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search | Oct 25, 2019 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 1 | 5 |
| Bayesian Optimization of Sampling Densities in MRI | Sep 15, 2022 | Bayesian OptimizationDimensionality Reduction | CodeCode Available | 1 | 5 |
| Batched Bayesian optimization by maximizing the probability of including the optimum | Oct 8, 2024 | Bayesian OptimizationDiversity | CodeCode Available | 1 | 5 |
| Batched Energy-Entropy acquisition for Bayesian Optimization | Oct 11, 2024 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Bayesian Optimization of Risk Measures | Jul 10, 2020 | Bayesian OptimizationDecision Making | CodeCode Available | 1 | 5 |
| Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information | Apr 19, 2021 | Bayesian OptimizationExperimental Design | CodeCode Available | 1 | 5 |
| Efficient Optimization of Echo State Networks for Time Series Datasets | Mar 12, 2019 | AstronomyBayesian Optimization | CodeCode Available | 1 | 5 |
| Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution | Jun 11, 2022 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 1 | 5 |
| Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool | Jun 24, 2024 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting | Apr 18, 2024 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 | 5 |
| Bayesian Generational Population-Based Training | Jul 19, 2022 | Bayesian OptimizationReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Explaining Inference Queries with Bayesian Optimization | Feb 10, 2021 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI) | Aug 26, 2022 | Bayesian OptimizationDisease Prediction | CodeCode Available | 1 | 5 |
| Bayesian Optimization for auto-tuning GPU kernels | Nov 26, 2021 | Bayesian OptimizationGPU | CodeCode Available | 1 | 5 |
| FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks | Jan 18, 2020 | Bayesian OptimizationObject Detection | CodeCode Available | 1 | 5 |
| Genetic-guided GFlowNets for Sample Efficient Molecular Optimization | Feb 5, 2024 | Bayesian OptimizationDrug Discovery | CodeCode Available | 1 | 5 |
| Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels | Nov 2, 2021 | Bayesian OptimizationMotion Planning | CodeCode Available | 1 | 5 |
| GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization | Apr 8, 2025 | Bayesian OptimizationContrastive Learning | CodeCode Available | 1 | 5 |
| GP+: A Python Library for Kernel-based learning via Gaussian Processes | Dec 12, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders | Mar 23, 2022 | Bayesian OptimizationDenoising | CodeCode Available | 1 | 5 |
