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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)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)Learning sparse low-threshold linear classifiers., , , , and . J. Mach. Learn. Res., (2015)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)