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Bayesian Optimization

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Showing 901–925 of 1900 papers

TitleStatusHype
Bayesian Optimization of ESG Financial Investments—0
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
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
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
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
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