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Bayesian Optimization

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TitleStatusHype
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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