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Bayesian Optimization

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Showing 1001–1025 of 1900 papers

TitleStatusHype
Efficient Device Scheduling with Multi-Job Federated Learning—0
Multi-objective simulation optimization of the adhesive bonding process of materials—0
Online Calibrated and Conformal Prediction Improves Bayesian Optimization—0
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization—0
Multi-Task Learning on Networks—0
Two-step Lookahead Bayesian Optimization with Inequality Constraints—0
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization—0
Bayesian Optimization over Permutation SpacesCode1
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy—0
Counterexample Guided RL Policy Refinement Using Bayesian OptimizationCode0
Constrained Two-step Look-Ahead Bayesian Optimization—0
Optimizing Conditional Value-At-Risk of Black-Box FunctionsCode0
Playing Ping Pong with Light: Directional Emission of White Light—0
Automated Benchmark-Driven Design and Explanation of Hyperparameter OptimizersCode0
Naive Automated Machine LearningCode1
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization—0
Towards Robust and Automatic Hyper-Parameter TunningCode0
Bayesian Optimization for auto-tuning GPU kernelsCode1
A stacked DCNN to predict the RUL of a turbofan engineCode1
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engineCode1
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning—0
Prediction of Probabilistic Transient Stability Using Support Vector Machine—0
Transfer Learning with Gaussian Processes for Bayesian OptimizationCode0
Quality and Computation Time in Optimization Problems—0
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics—0
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