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Hyperparameter tuning is a black box. This framework uses game theory to analyze which hyperparameters actually matter. It's tested in simulation, but we don't know yet whether it holds up in real-world model training.
“arXiv:2607.15884v1 Announce Type: cross Abstract: This work presents a game-theoretic framework for interpretable hyperparameter-objective interaction analysis rather than proposing a new optimization algorithm. In the proposed framework, S…”
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ENTITY
Shapley Effects, arXiv:2607.15884v1
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 4, 2026