89 citations · 362 across the 53 of their papers we have counts for
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Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
We develop necessary and sufficient conditions and a novel provably consistent and efficient algorithm for discovering topics (latent factors) from observations (documents) that ar…
Learning Mixed Membership Mallows Models from Pairwise Comparisons
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
We propose a novel parameterized family of Mixed Membership Mallows Models (M4) to account for variability in pairwise comparisons generated by a heterogeneous population of noisy…
A Topic Modeling Approach to Ranking
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
We propose a topic modeling approach to the prediction of preferences in pairwise comparisons. We develop a new generative model for pairwise comparisons that accounts for multiple…