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Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data.

, , and . NIPS, page 1330-1338. Curran Associates, Inc., (2009)

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Are There Local Maxima in the Infinite-Sample Likelihood of Gaussian Mixture Estimation?. COLT, volume 4539 of Lecture Notes in Computer Science, page 628-629. Springer, (2007)The Implicit Bias of Gradient Descent on Separable Data., , , and . ICLR (Poster), OpenReview.net, (2018)Characterizing Implicit Bias in Terms of Optimization Geometry., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1827-1836. PMLR, (2018)Efficient Distributed Learning with Sparsity., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3636-3645. PMLR, (2017)Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning., and . AISTATS, volume 15 of JMLR Proceedings, page 901-908. JMLR.org, (2011)Convergence of Gradient Descent on Separable Data., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3420-3428. PMLR, (2019)SVM optimization: inverse dependence on training set size., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 928-935. ACM, (2008)Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks., , , , and . CoRR, (2018)Semi-supervised Learning with Density Based Distances., , and . UAI, page 43-50. AUAI Press, (2011)Complexity of Inference in Graphical Models., , and . UAI, page 70-78. AUAI Press, (2008)