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Contributed Papers

Techniques for Dimensionality Reduction

Wed, Aug 9, 2:00 PM

Keegan KangChair

Section on Statistical Learning and Data Science

6 Presentations

Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA

2:05 PM - 2:20 PM

Co-authors: Yuxin Chen

Model Diagnostics in Matrix Factorization for Exponential Family Data

2:20 PM - 2:35 PM

Co-authors: Yoonkyung Lee (The Ohio State University)

Exploratory Factor Analysis of Data on a Sphere

2:35 PM - 2:50 PM

Co-authors: Karin Dorman (Iowa State University), Somak Dutta (Iowa State University), Ranjan Maitra (Iowa State University)

A Statistical View of Column Subset Selection

2:50 PM - 3:05 PM

Co-authors: Trevor Hastie (Stanford University)

Statistical Significance of Clustering with Multidimensional Scaling

3:05 PM - 3:20 PM

Co-authors: Shankar Bhamidi (University of North Carolina, Chapel Hill), Yufeng Liu (University of North Carolina at Chapel Hill)

Sparse Clusterability: Testing for Cluster Structure in High Dimensions.

3:20 PM - 3:35 PM

Naomi Brownstein (Medical University of South Carolina)

Co-authors: Jose Laborde (Moffitt Cancer Center), Paul Stewart (Moffitt Cancer Center), Zhihua Chen (Moffitt Cancer Center), Ann Chen (Moffitt Cancer Center)

Session participants

Cheryl Brooks (AT&T Data Science and AI Research)

Participant

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