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global-optimization

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Showing 376–400 of 658 papers

TitleStatusHype
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design—0
CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated AnnealingCode0
Global Optimization of Gaussian processes—0
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design—0
Nonlinear Dynamic Systems Parameterization Using Interval-Based Global Optimization: Computing Lipschitz Constants and BeyondCode0
Initial Design Strategies and their Effects on Sequential Model-Based OptimizationCode0
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding—0
Cost-aware Bayesian Optimization—0
Learning to be Global Optimizer—0
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization—0
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search—0
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm—0
StochasticRank: Global Optimization of Scale-Free Discrete Functions—0
Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples—0
Efficient Rollout Strategies for Bayesian OptimizationCode0
Practical Bayesian Optimization of Objectives with Conditioning Variables—0
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding—0
Analysis of performance criteria for optimization based bearing only target tracking algorithms—0
Scalable Constrained Bayesian Optimization—0
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting—0
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox OptimizationCode0
Geocoding of trees from street addresses and street-level images—0
Uncertainty Quantification for Bayesian Optimization—0
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
Consensus-Based Optimization on Hypersurfaces: Well-Posedness and Mean-Field Limit—0
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