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Learning shared rankings from mixtures of noisy pairwise comparisons.

, , and . ICASSP, page 5446-5450. IEEE, (2015)

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Topic Discovery through Data Dependent and Random Projections., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1202-1210. JMLR.org, (2013)Learning Mixed Membership Mallows Models from Pairwise Comparisons., , and . CoRR, (2015)A new geometric approach to latent topic modeling and discovery., , , and . ICASSP, page 5568-5572. IEEE, (2013)Dynamic topic discovery through sequential projections., , and . ACSSC, page 1100-1104. IEEE, (2013)Node embedding for network community discovery., , and . ICASSP, page 4129-4133. IEEE, (2017)A Provably Efficient Algorithm for Separable Topic Discovery., , and . IEEE J. Sel. Top. Signal Process., 10 (4): 712-725 (2016)PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic., , , , , , , , , and 10 other author(s). CoRR, (2021)Discovery of Evolving Semantics through Dynamic Word Embedding Learning., , , , and . CoRR, (2017)A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews., , , , , and . WWW, page 1573-1582. ACM, (2018)Efficient Distributed Topic Modeling with Provable Guarantees., , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 167-175. JMLR.org, (2014)