257 citations · 268 across the 4 of their papers we have counts for
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cs.LG2010★ 9 cited
Inference with Multivariate Heavy-Tails in Linear Models
Danny Bickson, Carlos Guestrin
Heavy-tailed distributions naturally occur in many real life problems. Unfortunately, it is typically not possible to compute inference in closed-form in graphical models which inv…
cs.LG2010★ 257 cited
GraphLab: A New Framework for Parallel Machine Learning
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuff…
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…