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cs.LG2026
Scalable extraction and visualization of multi-attribute logical and functional dependencies in tabular data
Chaithra Umesh, Arvind Lomrore, Neethu D +3
Understanding the structural relationships among attributes in tabular data is fundamental to machine learning and pattern recognition. While functional dependency (FD) discovery h…
cs.LG2026
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). Howev…