62 citations · 423 across the 54 of their papers we have counts for
4 papers · 2 filters
HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation
Qianqian Xu, Jiechao Xiong, Xi Chen +2
Recently, crowdsourcing has emerged as an effective paradigm for human-powered large scale problem solving in various domains. However, task requester usually has a limited amount…
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
Ke Ma, Jinshan Zeng, Jiechao Xiong +4
Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing methods are batch methods…
Exploring Outliers in Crowdsourced Ranking for QoE
Qianqian Xu, Ming Yan, Chendi Huang +3
Outlier detection is a crucial part of robust evaluation for crowdsourceable assessment of Quality of Experience (QoE) and has attracted much attention in recent years. In this pap…
Boosting with Structural Sparsity: A Differential Inclusion Approach
Chendi Huang, Xinwei Sun, Jiechao Xiong +1
Boosting as gradient descent algorithms is one popular method in machine learning. In this paper a novel Boosting-type algorithm is proposed based on restricted gradient descent wi…