259 citations · 1.6k across the 62 of their papers we have counts for
Showing 2014 · stat.MLShow all
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stat.ML2014★ 15 cited
Learning Mixed Multinomial Logit Model from Ordinal Data
Sewoong Oh, Devavrat Shah
Motivated by generating personalized recommendations using ordinal (or preference) data, we study the question of learning a mixture of MultiNomial Logit (MNL) model, a parameteriz…
stat.ML2014★ 32 cited
Minimax-optimal Inference from Partial Rankings
Bruce Hajek, Sewoong Oh, Jiaming Xu
This paper studies the problem of inferring a global preference based on the partial rankings provided by many users over different subsets of items according to the Plackett-Luce…
stat.ML2014★ 127 cited
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh
We study the problem of low-rank tensor factorization in the presence of missing data. We ask the following question: how many sampled entries do we need, to efficiently and exactl…