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Bayesian Optimization

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Showing 501–525 of 1900 papers

TitleStatusHype
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration—0
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs—0
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to OptimalCode0
Ranking over Regression for Bayesian Optimization and Molecule SelectionCode0
Rethinking Gradient-Based Methods: Multi-Property Materials Design Beyond Differentiable TargetsCode0
Gaussian Process Thompson Sampling via Rootfinding—0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging—0
Mechanistic Behavior Editing of Language ModelsCode0
Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms—0
Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated ExperimentsCode0
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators—0
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design—0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
Supply Risk-Aware Alloy Discovery and Design—0
Swine Diet Design using Multi-objective Regionalized Bayesian OptimizationCode0
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction—0
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions—0
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control—0
Automated design of nonreciprocal thermal emitters via Bayesian optimization—0
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian ApproachCode0
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