14 citations · 19 across the 4 of their papers we have counts for
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cs.LG2014★ 14 cited
Riffled Independence for Efficient Inference with Partial Rankings
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Distributions over rankings are used to model data in a multitude of real world settings such as preference analysis and political elections. Modeling such distributions presents s…
cs.LG2012★ 3 cited
Efficient Probabilistic Inference with Partial Ranking Queries
Jonathan Huang, Ashish Kapoor, Carlos E. Guestrin
Distributions over rankings are used to model data in various settings such as preference analysis and political elections. The factorial size of the space of rankings, however, ty…
cs.LG2010★ 2 cited
Uncovering the Riffled Independence Structure of Rankings
Jonathan Huang, Carlos Guestrin
Representing distributions over permutations can be a daunting task due to the fact that the number of permutations of objects scales factorially in . One recent way that ha…