Efficient Inference for Distributions on Permutations

By Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas. 2007

43 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Xiangnan He
2. Alex Smola
3. Charu C. Aggarwal
4. Steffen Rendle
5. Julian McAuley
6. Yoshua Bengio
7. Yi Tay
8. Qiang Yang

Citations in the corpus

• Fastfood: Approximate Kernel Expansions in Loglinear Time (2014, methodology): “kernels satisfying k(x, x′) = k(g◦x, g◦x′) for permutations, expansions using Young Tableaux can be found in (Huang et al., 2007).”
• BPR: Bayesian Personalized Ranking from Implicit Feedback (2009, background): “One direction is to model distributions on permutations [7, 6].”
• The skew spectrum of graphs (2008, background): “In this re­gard,itis relatedtothe recentline of papers(Kondor et al., 2007; Huang et al., 2008; Kondor, 2007a) in­troducing concepts from non-commutative harmonic analysis to machine learning.”