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math.ST2025
A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning
Zichun Xu, Daniela Witten, Ali Shojaie
We consider statistical inference under a semi-supervised setting where we have access to both a labeled dataset consisting of pairs and an unlabeled datase…
stat.ME2025
Thinning a Wishart Random Matrix
Ameer Dharamshi, Anna Neufeld, Lucy L. Gao +2
Recent work has explored data thinning, a generalization of sample splitting that involves decomposing a (possibly matrix-valued) random variable into independent components. In th…