2 papers
cs.LG2026
Human-LLM Collaborative Feature Engineering for Tabular Data
Zhuoyan Li, Aditya Bansal, Jinzhao Li +8
Large language models (LLMs) are increasingly used to automate feature engineering in tabular learning. Given task-specific information, LLMs can propose diverse feature transforma…
stat.ML2021
Learning Topic Models: Identifiability and Finite-Sample Analysis
Yinyin Chen, Shishuang He, Yun Yang +1
Topic models provide a useful text-mining tool for learning, extracting, and discovering latent structures in large text corpora. Although a plethora of methods have been proposed…