Faster grid search with small dataset to derive best params instead of full dataset?
This idea of using a small sample to the data set to search for the hyperparameters is called multi-fidelity methods.  A good starting point is the book by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren Automated machine learning: methods, systems, challenges which is open access.