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Bayesian Optimization

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TitleStatusHype
Bayesian optimized physics-informed neural network for estimating wave propagation velocitiesCode1
Cross-Layer Optimization for Fault-Tolerant Deep Learning—0
Domain Invariant Learning for Gaussian Processes and Bayesian ExplorationCode0
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum LearningCode0
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density EstimationCode0
Probabilistic learning of the Purkinje network from the electrocardiogramCode1
auto-sktime: Automated Time Series ForecastingCode1
Improving search relevance of Azure Cognitive Search by Bayesian optimization—0
Event-Triggered Safe Bayesian Optimization on QuadcoptersCode0
Towards Safe Multi-Task Bayesian OptimizationCode0
GP+: A Python Library for Kernel-based learning via Gaussian ProcessesCode1
Can LLMs Configure Software Tools—0
Physics-Aware Multifidelity Bayesian Optimization: a Generalized Formulation—0
Using Large Language Models for Hyperparameter OptimizationCode1
Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable ConvergenceCode0
Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions—0
Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization—0
Risk-Controlling Model Selection via Guided Bayesian Optimization—0
Regret Optimality of GP-UCB—0
Practical Path-based Bayesian Optimization—0
A Bayesian approach for prompt optimization in pre-trained language models—0
Scalable Meta-Learning with Gaussian Processes—0
Automated discovery of trade-off between utility, privacy and fairness in machine learning models—0
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization—0
Domain Knowledge Injection in Bayesian Search for New Materials—0
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