4 citations · 8 across the 4 of their papers we have counts for
4 papers
Partition-Mallows Model and Its Inference for Rank Aggregation
Wanchuang Zhu, Yingkai Jiang, Jun S. Liu +1
Learning how to aggregate ranking lists has been an active research area for many years and its advances have played a vital role in many applications ranging from bioinformatics t…
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization
Yang Yang, Ke Deng, Michael Zhu
Hyperparameters play a critical role in the performances of many machine learning methods. Determining their best settings or Hyperparameter Optimization (HPO) faces difficulties p…
Stratification and Optimal Resampling for Sequential Monte Carlo
Yichao Li, Wenshuo Wang, Ke Deng +1
Sequential Monte Carlo (SMC), also known as particle filters, has been widely accepted as a powerful computational tool for making inference with dynamical systems. A key step in S…
DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data
Zhe Sun, Ting Wang, Ke Deng +5
Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become a revolutionary tool to study cellular and molecular processes at single cell resolution. Among existing tec…