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Clustering under approximation stability., , and . J. ACM, 60 (2): 8:1-8:34 (2013)On the geometry of output-code multi-class learning., , and . CoRR, (2015)k-center Clustering under Perturbation Resilience., , and . ACM Trans. Algorithms, 16 (2): 22:1-22:39 (2020)Learning piecewise Lipschitz functions in changing environments., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3567-3577. PMLR, (2020)Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks., , , , , and . J. Mach. Learn. Res., (2017)Performance guarantees for transferring representations., and . ICLR (Workshop), OpenReview.net, (2017)k-Center Clustering Under Perturbation Resilience., , and . ICALP, volume 55 of LIPIcs, page 68:1-68:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)Efficient Representations for Lifelong Learning and Autoencoding., , and . COLT, volume 40 of JMLR Workshop and Conference Proceedings, page 191-210. JMLR.org, (2015)Geometry-Aware Gradient Algorithms for Neural Architecture Search., , , and . CoRR, (2020)Efficient Clustering with Limited Distance Information., , , , and . UAI, page 632-640. AUAI Press, (2010)