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Tag: missingness

  • Informative missingness and its implications in semi-supervised learning

    Informative missingness and its implications in semi-supervised learning arXiv:2512.04392v1 Announce Type: new Abstract: Semi-supervised learning (SSL) constructs classifiers using both labelled and unlabelled data. It leverages information from labelled samples, whose acquisition is often costly or labour-intensive, together with unlabelled data to enhance prediction performance. This defines an incomplete-data problem, which statistically can be formulated…

  • MIRRAMS: Towards Training Models Robust to Missingness Distribution Shifts

    MIRRAMS: Towards Training Models Robust to Missingness Distribution Shifts arXiv:2507.08280v1 Announce Type: new Abstract: In real-world data analysis, missingness distributional shifts between training and test input datasets frequently occur, posing a significant challenge to achieving robust prediction performance. In this study, we propose a novel deep learning framework designed to address such shifts in missingness…