659
Thu, 8/1/2019,
10:30 AM -
12:20 PM
CC-301
Recent Advances in Dimension Reduction and Clustering — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Yue Wang, Fred Hutchinson Cancer Center
10:35 AM
Dimension Reduction and Classification of Imbalanced Data
Elizabeth Chou, National Chengchi University
10:50 AM
Gaussian Mixture Clustering Using Relative Tests of Fit
Purvasha Chakravarti, Carnegie Mellon University ; Larry Wasserman, Carnegie Mellon University; Sivaraman Balakrishnan, Carnegie Mellon University
11:05 AM
Matrix Completion Under Low-Rank Missing Mechanism
Xiaojun Mao, Fudan University ; Raymond Wong, Texas A&M University; Song Xi Chen, Peking University
11:20 AM
Bias in Joint Spectral Embeddings
Benjamin Draves, Boston University ; Daniel L Sussman, Boston University
11:35 AM
Cluster Analysis via Random Partition Distributions
David Dahl, Brigham Young University ; Brandon Carter, Brigham Young University
11:50 AM
B-MuLe: Sparse Multi-View Representation Learning Problem with Application in Multi-Omics Studies
Omid Shams Solari ; James Bentley Brown, Uc Berkeley statistics
12:05 PM
Efficient Local Kernel Estimation Using Structured Random Forests
Joshua Loyal, University of Illinois Urbana-Champaign ; Ruoqing Zhu, University of Illinois Urbana-Champaign; Xin Zhang, Florida State University; Yifan Cui, University of Pennsylvania