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Found 3 papers, 1 papers with code
Practical and sample efficient zero-shot HPO
Zero-shot hyperparameter optimization (HPO) is a simple yet effective use of transfer learning for constructing a small list of hyperparameter (HP) configurations that complement each other.
Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework
The performance of many algorithms in the fields of hard combinatorial problem solving, machine learning or AI in general depends on parameter tuning.
Towards White-box Benchmarks for Algorithm Control
The performance of many algorithms in the fields of hard combinatorial problem solving, machine learning or AI in general depends on tuned hyperparameter configurations.
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