2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ML2018★ 1 cited
A Unified Dynamic Approach to Sparse Model Selection
Chendi Huang, Yuan Yao
Sparse model selection is ubiquitous from linear regression to graphical models where regularization paths, as a family of estimators upon the regularization parameter varying, are…
stat.ML2017★ 2 cited
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…
stat.ML2017
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…