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Given partially observed pairwise comparison data generated by the Bradley-Terry-Luce (BTL) model, we study the problem of top-$k$ ranking.
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Competitive analysis of the top-k ranking problem, Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms
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Tropp, J. A. [2015] · 2015
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Jang, M., Kim, S., Suh, C. and Oh, S. [2016] · 2016
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Lu, Y. and Zhou, H. H. [2016] · 2016
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Additional proofs for the paper “spectral method and regularized mle are both optimal for top- k k ranking”, The Annals of Statistics
Chen, Y., Fan, J., Ma, C. and Wang, K. [2019a]
Cited in the paper.
Spectral method and regularized mle are both optimal for top- k k ranking, The Annals of Statistics
Chen, Y., Fan, J., Ma, C. and Wang, K. [2019b]
Cited in the paper.
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Simple, robust and optimal ranking from pairwise comparisons, The Journal of Machine Learning Research
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Variable selection with hamming loss, The Annals of Statistics
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Optimal variable selection and adaptive noisy compressed sensing, IEEE Transactions on Information Theory
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