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Bayesian Optimization

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Showing 501–525 of 1900 papers

TitleStatusHype
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection—0
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings—0
A Probabilistic Adaptive Search System for Exploring the Face Space—0
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning—0
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration—0
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning—0
AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
Approximation-Aware Bayesian Optimization—0
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems—0
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization—0
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring—0
Bayesian Optimization For Multi-Objective Mixed-Variable Problems—0
Bayesian Optimization for Multi-objective Optimization and Multi-point Search—0
Approximating Pareto Frontier through Bayesian-optimization-directed Robust Multi-objective Reinforcement Learning—0
Bayesian optimization for modular black-box systems with switching costs—0
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design—0
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes—0
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration—0
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables—0
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning—0
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models—0
Bayesian Optimization for Macro Placement—0
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