A bilevel Bayesian optimization strategy pairing EI and UCB acquisition functions improves RoBERTa fine-tuning by up to 2.7 percent on a subset of GLUE tasks, but the results lack statistical validation.
In:Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp
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Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions
A bilevel Bayesian optimization strategy pairing EI and UCB acquisition functions improves RoBERTa fine-tuning by up to 2.7 percent on a subset of GLUE tasks, but the results lack statistical validation.