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]
@inproceedings{OymakG21, title = {A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models}, author = {Samet Oymak and Talha Cihad Gulcu}, year = {2021}, url = {http://proceedings.mlr.press/v130/oymak21a.html}, researchr = {https://researchr.org/publication/OymakG21}, cites = {0}, citedby = {0}, pages = {3601-3609}, booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event}, editor = {Arindam Banerjee 0001 and Kenji Fukumizu}, volume = {130}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }