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Found 3 papers, 2 papers with code
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms
Although AutoML methods have been applied to the hyperparameter tuning of NE algorithms, the problem of how to tune hyperparameters in a given period of time is not studied for NE algorithms before.
BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning
To help users tap the performance potential of systems, we present BestConfig, a system for automatically finding a best configuration setting within a resource limit for a deployed system under a given application workload.
Performance Databases Distributed, Parallel, and Cluster Computing Software Engineering
ACTS in Need: Automatic Configuration Tuning with Scalability Guarantees
To support the variety of Big Data use cases, many Big Data related systems expose a large number of user-specifiable configuration parameters.
Distributed, Parallel, and Cluster Computing
