[1] | N. Ailon: Aggregation of partial rankings, p-rakings and top-m lists (SODA 2007) [pdf] |
[2] | N. Ailon and M. Mohri: An efficient reduction of ranking to classification (COLT 2008) [pdf] |
[3] | P. Diaconis and B. Sturmfels: Algebraic algorithms for sampling from conditional distributions (Annals of Statistics, 26 1:363-97) [pdf] |
[4] | M. Drton, T. Richardson: Graphical methods for efficient likelihood inference in Gaussian covariance models (JMLR) [pdf] |
[5] | D. Geiger, C. Meek and B. Sturmfels: On the toric algebra of graphical models (Annals of Statistics 34 (2006) 1463-1492) [pdf] |
[6] | J. Huang, C. Guestrin and L. Guibas: Efficient inference for distributions on permutations (NIPS 2007) [pdf] |
[7] | S. Jagabathula, D. Shah: Inferring rankings under constrained sensing (NIPS 2008) |
[7b] | X. Jiang, L-H Lim, Y. Yao, Y. Ye: Learning to rank with combinatorial Hodge theory (arXiv) [pdf]
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[8] | R. Kondor: A novel set of translation and rotation invariant features for images based on the non-commutative bispectrum (arXiv) [pdf] |
[9] | R. Kondor, A. Howard and T. Jebara: Multi-object tracking with representations of the symmetric group (AISTATS 2007) [pdf] |
[10] | R. Kondor and K. M. Borgwardt: The skew spectrum of graphs (ICML 2008) [pdf] |
[11] | J. M. Landsberg, J. Morton: The Geometry of Tensors: Applications to complexity, statistics and engineering (in preparation) |
[12] | G. Lebanon and J. Lafferty: Conditional models on the ranking poset (NIPS 2002) [pdf] |
[13] | G. Lebanon and Y. Mao: Non-parametric modeling of partially ranked data (NIPS 2007) [pdf] |
[14] | M. Meila, K. Phadnis, A. Patterson and J. Blimes: Consensus ranking under the exponential model (tech report, 2007) [pdf] |
[15] | J. Morton: Relations among conditional probabilities (arXiv) [pdf] |
[16] | S. Sullivant: Algebraic geometry of Gaussian Bayesian networks (to appear in Advances in Applied Mathematics, arXiv) [pdf] |
[17] | M. Warmuth: Learning permutations with exponential weights (COLT 2007) [pdf] |