| Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces | Jul 2, 2023 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| OCTIS: Comparing and Optimizing Topic models is Simple! | Apr 19, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 | 5 |
| Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS | Dec 3, 2022 | Bayesian OptimizationDeep Learning | CodeCode Available | 1 | 5 |
| On the Implementation of a Bayesian Optimization Framework for Interconnected Systems | Jan 1, 2025 | Bayesian OptimizationChemical Process | CodeCode Available | 1 | 5 |
| A General Recipe for Likelihood-free Bayesian Optimization | Jun 27, 2022 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| AutoOED: Automated Optimal Experiment Design Platform | Apr 13, 2021 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models | May 21, 2025 | Bayesian OptimizationSpeech Synthesis | CodeCode Available | 1 | 5 |
| Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage | Mar 29, 2022 | Bayesian OptimizationFederated Learning | CodeCode Available | 1 | 5 |
| ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation | Dec 21, 2018 | Bayesian OptimizationCPU | CodeCode Available | 1 | 5 |
| Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces | Nov 1, 2021 | Bayesian OptimizationDrug Design | CodeCode Available | 1 | 5 |
| Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders | Mar 23, 2022 | Bayesian OptimizationDenoising | CodeCode Available | 1 | 5 |
| PFNs4BO: In-Context Learning for Bayesian Optimization | May 27, 2023 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Combinatorial 3D Shape Generation via Sequential Assembly | Apr 16, 2020 | 3D Shape GenerationBayesian Optimization | CodeCode Available | 1 | 5 |
| Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization | Feb 24, 2025 | Bayesian OptimizationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Constrained Causal Bayesian Optimization | May 31, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization | Nov 11, 2022 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Probabilistic learning of the Purkinje network from the electrocardiogram | Dec 15, 2023 | AnatomyBayesian Optimization | CodeCode Available | 1 | 5 |
| Projective Preferential Bayesian Optimization | Feb 8, 2020 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay | Aug 11, 2022 | Bayesian OptimizationFault Diagnosis | CodeCode Available | 1 | 5 |
| ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning | Sep 4, 2020 | Bayesian Optimizationreinforcement-learning | CodeCode Available | 1 | 5 |
| Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization | Jun 17, 2022 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Query-Efficient Black-Box Red Teaming via Bayesian Optimization | May 27, 2023 | Bayesian OptimizationLanguage Modeling | CodeCode Available | 1 | 5 |
| AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly | May 22, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 | 5 |
| Robust Multi-Objective Bayesian Optimization Under Input Noise | Feb 15, 2022 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index | Jun 28, 2024 | Bayesian Optimization | CodeCode Available | 1 | 5 |
| 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 |
