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stat.ML2024
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion
Xiaoqian Liu, Xu Han, Eric C. Chi +1
In 1-bit matrix completion, the aim is to estimate an underlying low-rank matrix from a partial set of binary observations. We propose a novel method for 1-bit matrix completion ca…
stat.ML2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Eyar Azar, Boaz Nadler
The premise of semi-supervised learning (SSL) is that combining labeled and unlabeled data yields significantly more accurate models. Despite empirical successes, the theoretical u…