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Bayesian Optimization

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Showing 901–950 of 1900 papers

TitleStatusHype
Scalable First-Order Bayesian Optimization via Structured Automatic DifferentiationCode1
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview—0
On Provably Robust Meta-Bayesian OptimizationCode0
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing—0
Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm ExecutionCode1
Joint Entropy Search for Maximally-Informed Bayesian OptimizationCode0
Recent Advances in Bayesian Optimization—0
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationCode0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
Transfer Learning based Search Space Design for Hyperparameter Tuning—0
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian OptimizationCode0
Graph Machine Learning for Design of High-Octane Fuels—0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle—0
Targeted Adaptive Design—0
Surrogate modeling for Bayesian optimization beyond a single Gaussian process—0
Transfer learning driven design optimization for inertial confinement fusion—0
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization—0
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein EvolutionCode0
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization—0
Hyperparameter Optimization with Neural Network Pruning—0
A model aggregation approach for high-dimensional large-scale optimization—0
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback—0
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problemsCode0
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization—0
Efficient Automated Deep Learning for Time Series ForecastingCode4
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization—0
Generative Evolutionary Strategy For Black-Box Optimizations—0
An end-to-end neural network framework for SOH estimation and RUL prediction of lithium batteryCode0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian OptimizationCode1
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles—0
Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques—0
Twin-in-the-loop state estimation for vehicle dynamics control: theory and experiments—0
Uncertainty-Aware Search Framework for Multi-Objective Bayesian OptimizationCode0
\^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian OptimizationCode0
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting—0
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs—0
Bayesian optimization with known experimental and design constraints for chemistry applicationsCode1
Auditing Privacy Defenses in Federated Learning via Generative Gradient LeakageCode1
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization—0
Compositional optimization of quantum circuits for quantum kernels of support vector machines—0
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic maskingCode0
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersCode1
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue—0
Preference Exploration for Efficient Bayesian Optimization with Multiple OutcomesCode1
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge IntegrationCode0
Non-Elitist Selection Can Improve the Performance of IraceCode0
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