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Bayesian Optimization

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Showing 1426–1450 of 1900 papers

TitleStatusHype
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data—0
Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality—0
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge—0
Preferential Batch Bayesian Optimization—0
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding—0
Cost-aware Bayesian Optimization—0
Towards Automatic Bayesian Optimization: A first step involving acquisition functions—0
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture—0
Interpretable Personalization via Policy Learning with Linear Decision Boundaries—0
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time—0
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization—0
Modelling Human Active Search in Optimizing Black-box Functions—0
Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework—0
Bayesian optimization of variable-size design space problems—0
Knot Selection in Sparse Gaussian Processes with a Variational Objective FunctionCode0
Optimizing JPEG Quantization for Classification Networks—0
Data-efficient Domain Randomization with Bayesian Optimization—0
On Hyper-parameter Tuning for Stochastic Optimization Algorithms—0
Robust Policy Search for Robot Navigation—0
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling—0
PHS: A Toolbox for Parallel Hyperparameter SearchCode0
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics—0
Efficient Rollout Strategies for Bayesian OptimizationCode0
Practical Bayesian Optimization of Objectives with Conditioning Variables—0
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling—0
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