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Bayesian Optimization

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Showing 1251–1275 of 1900 papers

TitleStatusHype
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities—0
Batch Bayesian Optimization on Permutations using the Acquisition Weighted KernelCode0
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels—0
Hyperparameter Transfer Learning with Adaptive Complexity—0
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inferenceCode0
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound—0
Using Distance Correlation for Efficient Bayesian Optimization—0
No-Regret Algorithms for Time-Varying Bayesian Optimization—0
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics—0
Directed particle swarm optimization with Gaussian-process-based function forecasting—0
Latent Map Gaussian Processes for Mixed Variable Metamodeling—0
Uncertainty quantification and exploration-exploitation trade-off in humans—0
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs—0
Hyper-optimization with Gaussian Process and Differential Evolution AlgorithmCode0
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization—0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization—0
Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control—0
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization—0
Few-Shot Bayesian Optimization with Deep Kernel Surrogates—0
TREGO: a Trust-Region Framework for Efficient Global Optimization—0
Cost-Efficient Online Hyperparameter Optimization—0
Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures—0
Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization—0
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models—0
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