3k citations · 24.2k across the 299 of their papers we have counts for
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Computational and Statistical Tradeoffs via Convex Relaxation
Venkat Chandrasekaran, Michael I. Jordan
In modern data analysis, one is frequently faced with statistical inference problems involving massive datasets. Processing such large datasets is usually viewed as a substantial c…
Cluster and Feature Modeling from Combinatorial Stochastic Processes
Tamara Broderick, Michael I. Jordan, Jim Pitman
One of the focal points of the modern literature on Bayesian nonparametrics has been the problem of clustering, or partitioning, where each data point is modeled as being associate…
The asymptotics of ranking algorithms
John C. Duchi, Lester Mackey, Michael I. Jordan
We consider the predictive problem of supervised ranking, where the task is to rank sets of candidate items returned in response to queries. Although there exist statistical proced…