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Ranking on graph data.

. ICML, volume 148 of ACM International Conference Proceeding Series, page 25-32. ACM, (2006)

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Generalization Bounds for $k$-Partite Ranking, and . Proceedings of the NIPS 2005 Workshop on Learning to Rank, page 28--23. Whistler, BC, Canada, (2005)GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1989-1997. JMLR.org, (2014)When can we rank well from comparisons of \(O(nłog(n))\) non-actively chosen pairs?, and . COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 1376-1401. JMLR.org, (2016)A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 118-126. JMLR.org, (2014)Automated Mechanism Design without Money via Machine Learning., , and . IJCAI, page 433-439. IJCAI/AAAI Press, (2016)Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit., , , , and . ICMLA, page 93-98. IEEE, (2014)Learning to rank on graphs.. Mach. Learn., 81 (3): 333-357 (2010)Surrogate regret bounds for bipartite ranking via strongly proper losses.. J. Mach. Learn. Res., 15 (1): 1653-1674 (2014)Role of Gender in Work-life Balance., and . ICRMAT, volume 24 of Annals of Computer Science and Information Systems, page 15-18. (2020)An AHP-based Decision Support System for Personnel Selection for Manager Position in Businesses., and . ICRMAT, volume 28 of Annals of Computer Science and Information Systems, page 1-7. (2021)