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Bayesian Optimization

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Showing 126–150 of 1900 papers

TitleStatusHype
Posterior Inference with Diffusion Models for High-dimensional Black-box OptimizationCode1
Multi-Objective Causal Bayesian OptimizationCode1
Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization—0
An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces—0
Universal Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery—0
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter DesignsCode0
Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions—0
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Assessing the impacts of tradable credit schemes through agent-based simulation—0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit—0
Understanding High-Dimensional Bayesian Optimization—0
Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space—0
Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions—0
Bayesian Optimization for Building Social-Influence-Free Consensus—0
User-Preference Meets Pareto-Optimality: Multi-Objective Bayesian Optimization with Local Gradient Search—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
Scalable Differentially Private Bayesian Optimization—0
MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration—0
Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development—0
Probabilistic Artificial IntelligenceCode0
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental SciencesCode2
LLM-USO: Large Language Model-based Universal Sizing Optimizer—0
BILBO: BILevel Bayesian OptimizationCode0
Meta-Prompt Optimization for LLM-Based Sequential Decision Making—0
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