| Bayesian Optimisation with Formal Guarantees | Jun 10, 2021 | Bayesian OptimisationBayesian Optimization | —Unverified | 0 |
| A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems | Oct 16, 2021 | Bayesian OptimizationModel Selection | —Unverified | 0 |
| Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction | Nov 30, 2024 | Bayesian OptimizationToken Reduction | —Unverified | 0 |
| Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking | Nov 18, 2018 | Bayesian OptimizationObject | —Unverified | 0 |
| Bayesian Neighbourhood Component Analysis | Apr 8, 2016 | Bayesian OptimizationMetric Learning | —Unverified | 0 |
| An Entropy Search Portfolio for Bayesian Optimization | Jun 18, 2014 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Bayesian Multi-Scale Optimistic Optimization | Feb 27, 2014 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method | Jul 8, 2022 | Active LearningBayesian Optimization | —Unverified | 0 |
| Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions | Feb 13, 2025 | Bayesian Optimization | —Unverified | 0 |
| The Gittins Index: A Design Principle for Decision-Making Under Uncertainty | Jun 12, 2025 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective | Nov 27, 2024 | Bayesian OptimizationForm | —Unverified | 0 |
| Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction | Jun 4, 2024 | Bayesian OptimizationGraph Neural Network | —Unverified | 0 |
| Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization | Feb 28, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| An Empirical Bayes Approach to Optimizing Machine Learning Algorithms | Dec 1, 2017 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Bayesian Intervention Optimization for Causal Discovery | Jun 16, 2024 | Bayesian OptimizationCausal Discovery | —Unverified | 0 |
| Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax | Dec 11, 2019 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures | Sep 1, 2021 | Bayesian OptimizationTopic Models | —Unverified | 0 |
| Adaptive Local Bayesian Optimization Over Multiple Discrete Variables | Dec 7, 2020 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization | Mar 7, 2024 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection | Jul 7, 2022 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 |
| An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems | Dec 16, 2022 | Bayesian Optimization | —Unverified | 0 |
| Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization | Nov 26, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems | May 18, 2024 | Bayesian Optimization | —Unverified | 0 |
| Convolutional neural network for Lyman break galaxies classification and redshift regression in DESI (Dark Energy Spectroscopic Instrument) | Jun 24, 2024 | Bayesian OptimizationData Augmentation | —Unverified | 0 |
| Bayesian Hyperparameter Optimization for Ensemble Learning | May 20, 2016 | Bayesian OptimizationEnsemble Learning | —Unverified | 0 |