Re-ExaminingLinearEmbeddingsfor High-DimensionalBayesianOptimization
–Neural Information Processing Systems
Bayesian optimization (BO) is a popular approach to optimize expensive-toevaluate black-box functions. A significant challenge in BO is to scale to highdimensional parameter spaces whileretaining sample efficiency. Asolution considered in existing literature is to embed the high-dimensional space in a lowerdimensional manifold, often via a random linear embedding.
Neural Information Processing Systems
Feb-7-2026, 12:35:31 GMT