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Local Low-Rank Matrix Approximation.

, , , and . ICML (2), volume 28 of JMLR Workshop and Conference Proceedings, page 82-90. JMLR.org, (2013)

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Learning Riemannian Metrics.. UAI, page 362-369. Morgan Kaufmann, (2003)Statistical Translation, Heat Kernels and Expected Distances., , , and . UAI, page 93-100. AUAI Press, (2007)Diffusion Kernels on Statistical Manifolds., and . J. Mach. Learn. Res., (2005)The Locally Weighted Bag of Words Framework for Document Representation., , and . J. Mach. Learn. Res., (2007)Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk., , , and . Privacy in Statistical Databases, volume 4302 of Lecture Notes in Computer Science, page 217-232. Springer, (2006)Matrix Approximation under Local Low-Rank Assumption, , , and . ICLR (Workshop Poster), (2013)Unsupervised Supervised Learning II: Margin-Based Classification without Labels., , and . AISTATS, volume 15 of JMLR Proceedings, page 137-145. JMLR.org, (2011)Keynote address: Visualizing and modeling ranked data.. LDAV, IEEE Computer Society, (2013)Local likelihood modeling of temporal text streams., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 552-559. ACM, (2008)Sequential Document Visualization., , and . IEEE Trans. Vis. Comput. Graph., 13 (6): 1208-1215 (2007)