Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning
Published in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2025
This paper introduces a transfer-learning-based Bayesian Optimization algorithm that automatically designs promising search spaces without needing prior knowledge, overcomes restrictive assumptions, and outperforms state-of-the-art methods across benchmarks.
Author: Quoc-Anh Hoang Nguyen*, The Hung Tran*, Sunil Gupta, Dung D. Le
