175 citations · 571 across the 44 of their papers we have counts for
4 papers · 1 filter
Towards Non-Parametric Learning to Rank
Ao Liu, Qiong Wu, Zhenming Liu +1
This paper studies a stylized, yet natural, learning-to-rank problem and points out the critical incorrectness of a widely used nearest neighbor algorithm. We consider a model with…
Composite Marginal Likelihood Methods for Random Utility Models
Zhibing Zhao, Lirong Xia
We propose a novel and flexible rank-breaking-then-composite-marginal-likelihood (RBCML) framework for learning random utility models (RUMs), which include the Plackett-Luce model.…
A Cost-Effective Framework for Preference Elicitation and Aggregation
Zhibing Zhao, Haoming Li, Junming Wang +4
We propose a cost-effective framework for preference elicitation and aggregation under the Plackett-Luce model with features. Given a budget, our framework iteratively computes the…
Learning Mixtures of Plackett-Luce Models
Zhibing Zhao, Peter Piech, Lirong Xia
In this paper we address the identifiability and efficient learning problems of finite mixtures of Plackett-Luce models for rank data. We prove that for any , the mixture…