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Bayesian Optimization

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Showing 751–800 of 1900 papers

TitleStatusHype
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networksCode0
Transfer Learning for Bayesian Optimization: A Survey—0
Bayesian Optimization of ESG Financial Investments—0
Sample-efficient Multi-objective Molecular Optimization with GFlowNetsCode1
Rover: An online Spark SQL tuning service via generalized transfer learning—0
A Bayesian Optimization approach for calibrating large-scale activity-based transport modelsCode0
DivBO: Diversity-aware CASH for Ensemble Learning—0
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration—0
Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesCode1
Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled ConstraintsCode0
BOMP-NAS: Bayesian Optimization Mixed Precision NAS—0
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed SpacesCode1
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty—0
Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization AlgorithmCode0
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management—0
On the role of Model Uncertainties in Bayesian Optimization—0
Robust Bayesian Target Value Optimization—0
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations—0
Global Perception Based Autoregressive Neural Processes—0
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search—0
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian OptimizationCode0
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks—0
Machine learning for accelerating the discovery of high performance low-cost solar cells: a systematic review—0
Extrinsic Bayesian Optimizations on Manifolds—0
Deep Unfolded Tensor Robust PCA with Self-supervised LearningCode1
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processesCode0
Near-optimal Policy Identification in Active Reinforcement Learning—0
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems—0
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation—0
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?—0
Optimizing Integrated Information with a Prior Guided Random Search Algorithm—0
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach—0
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUSCode1
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter OptimizationCode0
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning—0
Model-based Causal Bayesian OptimizationCode1
Bayesian Optimization of 2D Echocardiography Segmentation—0
Towards Automated Design of Bayesian Optimization via Exploratory Landscape AnalysisCode0
Global Optimization with Parametric Function Approximation—0
Prior-mean-assisted Bayesian optimization application on FRIB Front-End tunning—0
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian OptimizationCode1
Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints—0
Multi-Fidelity Cost-Aware Bayesian OptimizationCode0
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free GrammarsCode1
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction MappingsCode0
PI is back! Switching Acquisition Functions in Bayesian OptimizationCode0
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning—0
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement LearningCode1
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