[1]  N. Ailon: Aggregation of partial rankings, prakings and topm 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 1:36397) [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) 14631492) [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, LH Lim, Y. Yao, Y. Ye: Learning to rank with combinatorial Hodge theory (arXiv) [pdf]

[8]  R. Kondor: A novel set of translation and rotation invariant features for images based on the noncommutative bispectrum (arXiv) [pdf] 
[9]  R. Kondor, A. Howard and T. Jebara: Multiobject 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: Nonparametric 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] 