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#machine learning Preprint Sep 2026

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.

Zhi-Xuan Gao, Ke Xue, Rong-Xi Tan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Rethinking Learnability in Offline Data-driven Optimization

A trajectory-learning framework comprising trajectory construction, trajectory modeling, and candidate generation is formalized, and existing trajectory-based methods under it are analyzed and Uncertainty-aware Gradient-guided Trajectory Learning (UGTL), which constructs locally coherent improvement trajectories reflec...

Chao Qian, Chenguang Wang, Rong-Xi Tan et al. · 0 citations

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