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Bayesian Optimization

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TitleStatusHype
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit—0
AI-Assisted Transport of Radioactive Ion Beams—0
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case—0
AI-Powered Agile Analog Circuit Design and Optimization—0
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling—0
A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks—0
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment—0
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models—0
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization—0
Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization—0
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment—0
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization—0
Ambulance Demand Prediction via Convolutional Neural Networks—0
A model aggregation approach for high-dimensional large-scale optimization—0
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting—0
AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG—0
A Multi-objective Newton Optimization Algorithm for Hyper-Parameter Search—0
An adaptive approach to Bayesian Optimization with switching costs—0
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization—0
An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces—0
An Algorithmic Theory of Metacognition in Minds and Machines—0
Analogical-based Bayesian Optimization—0
An Artificial Intelligence (AI) workflow for catalyst design and optimization—0
An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance—0
Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization—0
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design—0
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis—0
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble—0
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems—0
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures—0
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms—0
An Entropy Search Portfolio for Bayesian Optimization—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
A new integral loss function for Bayesian optimization—0
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization—0
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System—0
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems—0
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations—0
A Nonparametric Unsupervised Learning Approach for Structural Damage Detection—0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle—0
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture—0
A portfolio approach to massively parallel Bayesian optimization—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes—0
Approximating Pareto Frontier through Bayesian-optimization-directed Robust Multi-objective Reinforcement Learning—0
Approximation-Aware Bayesian Optimization—0
A Probabilistic Adaptive Search System for Exploring the Face Space—0
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems—0
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty—0
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