| Causal Bayesian Optimization via Exogenous Distribution Learning | Feb 3, 2024 | Bayesian Optimization | —Unverified | 0 |
| Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration | Jan 30, 2024 | Bayesian InferenceBayesian Optimization | —Unverified | 0 |
| Bayesian optimization as a flexible and efficient design framework for sustainable process systems | Jan 29, 2024 | Bayesian Optimization | —Unverified | 0 |
| Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data | Jan 25, 2024 | Bayesian Optimization | —Unverified | 0 |
| Run-to-Run Control With Bayesian Optimization for Soft Landing of Short-Stroke Reluctance Actuators | Jan 24, 2024 | Bayesian OptimizationDimensionality Reduction | —Unverified | 0 |
| Explainable Bayesian Optimization | Jan 24, 2024 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 0 |
| Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement | Jan 23, 2024 | Bayesian Optimization | —Unverified | 0 |
| Quantum Architecture Search with Unsupervised Representation Learning | Jan 21, 2024 | Bayesian OptimizationNeural Architecture Search | —Unverified | 0 |
| A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization | Jan 19, 2024 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 |
| Simulation Based Bayesian Optimization | Jan 19, 2024 | Bayesian OptimizationCombinatorial Optimization | CodeCode Available | 0 |
| Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach | Jan 19, 2024 | Bayesian OptimizationStochastic Optimization | —Unverified | 0 |
| Automatic dimensionality reduction of Twin-in-the-Loop Observers | Jan 18, 2024 | Bayesian OptimizationDimensionality Reduction | —Unverified | 0 |
| Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality | Jan 17, 2024 | Bayesian OptimizationDeep Learning | —Unverified | 0 |
| Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization | Jan 11, 2024 | Bayesian Optimization | —Unverified | 0 |
| Optimized Ensemble Model Towards Secured Industrial IoT Devices | Jan 10, 2024 | Bayesian OptimizationEnsemble Learning | —Unverified | 0 |
| Closed-loop Identification of a MSW Grate Incinerator using Bayesian Optimization for Selecting Model Inputs and Structure | Jan 10, 2024 | Bayesian OptimizationFLUE | —Unverified | 0 |
| A Multi-objective Newton Optimization Algorithm for Hyper-Parameter Search | Jan 7, 2024 | Bayesian Optimizationobject-detection | —Unverified | 0 |
| SeqNAS: Neural Architecture Search for Event Sequence Classification | Jan 6, 2024 | Bayesian OptimizationClassification | CodeCode Available | 0 |
| Improving sample efficiency of high dimensional Bayesian optimization with MCMC | Jan 5, 2024 | Bayesian OptimizationThompson Sampling | —Unverified | 0 |
| Beyond Regrets: Geometric Metrics for Bayesian Optimization | Jan 3, 2024 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
| An Invariant Information Geometric Method for High-Dimensional Online Optimization | Jan 3, 2024 | Bayesian OptimizationMuJoCo | CodeCode Available | 0 |
| Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces | Jan 2, 2024 | Bayesian Optimizationmolecular representation | —Unverified | 0 |
| Efficient Hyperparameter Optimization with Adaptive Fidelity Identification | Jan 1, 2024 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 1 |
| PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance | Dec 28, 2023 | Bayesian OptimizationPseudo Label | CodeCode Available | 0 |
| Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization | Dec 22, 2023 | Bayesian OptimizationMultiobjective Optimization | CodeCode Available | 0 |
| Bayesian optimized physics-informed neural network for estimating wave propagation velocities | Dec 21, 2023 | Bayesian Optimizationparameter estimation | CodeCode Available | 1 |
| Cross-Layer Optimization for Fault-Tolerant Deep Learning | Dec 21, 2023 | Bayesian OptimizationDeep Learning | —Unverified | 0 |
| Domain Invariant Learning for Gaussian Processes and Bayesian Exploration | Dec 18, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 |
| Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning | Dec 16, 2023 | Autonomous DrivingAutonomous Racing | CodeCode Available | 0 |
| Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation | Dec 16, 2023 | Bayesian OptimizationDensity Estimation | CodeCode Available | 0 |
| Probabilistic learning of the Purkinje network from the electrocardiogram | Dec 15, 2023 | AnatomyBayesian Optimization | CodeCode Available | 1 |
| auto-sktime: Automated Time Series Forecasting | Dec 13, 2023 | AutoMLBayesian Optimization | CodeCode Available | 1 |
| Improving search relevance of Azure Cognitive Search by Bayesian optimization | Dec 13, 2023 | Bayesian Optimization | —Unverified | 0 |
| Event-Triggered Safe Bayesian Optimization on Quadcopters | Dec 13, 2023 | Bayesian Optimization | CodeCode Available | 0 |
| Towards Safe Multi-Task Bayesian Optimization | Dec 12, 2023 | Bayesian Optimization | CodeCode Available | 0 |
| GP+: A Python Library for Kernel-based learning via Gaussian Processes | Dec 12, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |
| Can LLMs Configure Software Tools | Dec 11, 2023 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 |
| Physics-Aware Multifidelity Bayesian Optimization: a Generalized Formulation | Dec 10, 2023 | Bayesian OptimizationManagement | —Unverified | 0 |
| Using Large Language Models for Hyperparameter Optimization | Dec 7, 2023 | Bayesian OptimizationDecision Making | CodeCode Available | 1 |
| Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence | Dec 6, 2023 | Bayesian Optimization | CodeCode Available | 0 |
| Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions | Dec 5, 2023 | Bayesian OptimizationCPU | —Unverified | 0 |
| Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization | Dec 4, 2023 | Bayesian OptimizationGPR | —Unverified | 0 |
| Risk-Controlling Model Selection via Guided Bayesian Optimization | Dec 4, 2023 | Bayesian OptimizationFairness | —Unverified | 0 |
| Regret Optimality of GP-UCB | Dec 3, 2023 | Bayesian Optimization | —Unverified | 0 |
| Practical Path-based Bayesian Optimization | Dec 1, 2023 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
| A Bayesian approach for prompt optimization in pre-trained language models | Dec 1, 2023 | Bayesian OptimizationCombinatorial Optimization | —Unverified | 0 |
| Scalable Meta-Learning with Gaussian Processes | Dec 1, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Automated discovery of trade-off between utility, privacy and fairness in machine learning models | Nov 27, 2023 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization | Nov 26, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Domain Knowledge Injection in Bayesian Search for New Materials | Nov 26, 2023 | Bayesian Optimization | —Unverified | 0 |