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Bayesian Optimization

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Showing 1401–1450 of 1900 papers

TitleStatusHype
Fair Bayesian Optimization—0
Adaptation Strategies for Automated Machine Learning on Evolving DataCode0
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions—0
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization—0
Sparse representation for damage identification of structural systems—0
Bayesian optimization for modular black-box systems with switching costs—0
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules—0
Semi-supervised Embedding Learning for High-dimensional Bayesian OptimizationCode0
Causal Bayesian Optimization—0
Epidemiologically and Socio-economically Optimal Policies via Bayesian OptimizationCode0
Global Optimization of Gaussian processes—0
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization—0
A Robust Experimental Evaluation of Automated Multi-Label Classification MethodsCode0
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of FailuresCode0
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-ErrorCode0
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model—0
Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization—0
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design—0
Using Bayesian Optimization to Accelerate Virtual Screening for the Discovery of Therapeutics Appropriate for Repurposing for COVID-19—0
Sequential Gallery for Interactive Visual Design Optimization—0
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm—0
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning—0
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting—0
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with ConstraintsCode0
Neural network based country wise risk prediction of COVID-19—0
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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