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Bayesian Optimization

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Showing 1726–1750 of 1900 papers

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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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