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Bayesian Optimization

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Showing 1701–1750 of 1900 papers

TitleStatusHype
Scalable Bayesian Optimization via Focalized Sparse Gaussian ProcessesCode0
High-dimensional Bayesian optimization using low-dimensional feature spacesCode0
CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenanceCode0
Bayesian optimization for materials designCode0
Bayesian Optimization for Iterative LearningCode0
Non-Elitist Selection Can Improve the Performance of IraceCode0
High-dimensional Bayesian Optimization with Group TestingCode0
Computationally Efficient High-Dimensional Bayesian Optimization via Variable SelectionCode0
AutoDispNet: Improving Disparity Estimation With AutoMLCode0
High-Dimensional Discrete Bayesian Optimization with Self-Supervised Representation Learning for Data-Efficient Materials ExplorationCode0
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networksCode0
Computational design of antimicrobial active surfaces via automated Bayesian optimizationCode0
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributionsCode0
QuaCK-TSF: Quantum-Classical Kernelized Time Series ForecastingCode0
Non-Myopic Multi-Objective Bayesian OptimizationCode0
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOBCode0
Combinatorial Bayesian Optimization using the Graph Cartesian ProductCode0
Non-smooth Bayesian Optimization in Tuning ProblemsCode0
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian OptimizationCode0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
Triangulation candidates for Bayesian optimizationCode0
Human-Algorithm Collaborative Bayesian Optimization for Engineering SystemsCode0
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual ProsthesesCode0
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental DesignCode0
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian OptimizationCode0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelinesCode0
Scalable Combinatorial Bayesian Optimization with Tractable Statistical modelsCode0
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal DesignCode0
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function ApproximationsCode0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
Bayesian Optimization for Function Compositions with Applications to Dynamic PricingCode0
Bayesian Optimization for Categorical and Category-Specific Continuous InputsCode0
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processesCode0
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning AlgorithmsCode0
Hyper-optimization with Gaussian Process and Differential Evolution AlgorithmCode0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
Hyperparameter Optimization: A Spectral ApproachCode0
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover TreesCode0
Bayesian optimization for automatic design of face stimuliCode0
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein EvolutionCode0
Offline Contextual Bayesian OptimizationCode0
System-Aware Neural ODE Processes for Few-Shot Bayesian OptimizationCode0
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal FunctionsCode0
An Information-Theoretic Framework for Unifying Active Learning ProblemsCode0
Quantum Circuit Design SearchCode0
Bayesian Optimization-based Combinatorial AssignmentCode0
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problemsCode0
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to OptimalCode0
Scalable Global Optimization via Local Bayesian OptimizationCode0
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