March 6, 2024, 5:42 a.m. | Tijana Zrnic, Emmanuel J. Cand\`es

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.03208v1 Announce Type: cross
Abstract: Inspired by the concept of active learning, we propose active inference$\unicode{x2013}$a methodology for statistical inference with machine-learning-assisted data collection. Assuming a budget on the number of labels that can be collected, the methodology uses a machine learning model to identify which data points would be most beneficial to label, thus effectively utilizing the budget. It operates on a simple yet powerful intuition: prioritize the collection of labels for data points where the model exhibits uncertainty, …

abstract active learning arxiv budget collection concept cs.lg data data collection identify inference labels machine machine learning machine learning model methodology statistical stat.me stat.ml type unicode

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