A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models - researchr publication authors

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Samet Oymak, Talha Cihad Gulcu. A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 3601-3609, PMLR, 2021. [doi]

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