Agentic High-Dimensional Bayesian Optimization with Hypothesis- and Evidence-Guided Search
HerA, a Hypothesis- and Evidence-guided Research Agent that uses task context, optimization feedback, and structural diagnostics to revise search hypotheses, select and configure HDBO strategies, and determine their execution length, is introduced.