32 citations · 62 across the 3 of their papers we have counts for
3 papers
Learning from Comparisons and Choices
Sahand Negahban, Sewoong Oh, Kiran K. Thekumparampil +1
When tracking user-specific online activities, each user's preference is revealed in the form of choices and comparisons. For example, a user's purchase history is a record of her…
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K. Thekumparampil, Jiaming Xu
In applications such as recommendation systems and revenue management, it is important to predict preferences on items that have not been seen by a user or predict outcomes of comp…
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…