Topic-Contributed Paper Session

Harnessing the power of large-scale and heterogeneous data with integrative analysis

Sun, Aug 3, 4:00 PM - 5:50 PM Room CC-103C Music City Center

Section on Statistical Learning and Data Science co: Section on Statistics in Genomics and Geneticsco: International Chinese Statistical Association Applied

4 Presentations

Federated Transfer Learning with Differential Privacy

4:05 PM - 4:25 PM

Mengchu Li

Co-authors: Ye Tian (Columbia University, Department of Statistics), Yang Feng (New York University), Yi Yu (University of Warwick)

Pretraining and the Lasso

4:25 PM - 4:45 PM

Erin Craig

Co-authors: Mert Pilanci (Stanford University), Balasubramanian Narasimhan (Stanford University), Julia Salzman (Stanford University), Jonathan Taylor (Stanford University), Robert Tibshirani (Stanford University)

Recovery of Biological Signals Lost in Single-cell Batch Integration

4:45 PM - 5:05 PM

Zhaojun Zhang

Co-authors: Nancy Zhang (University of Pennsylvania), Zongming Ma

Sparse principal component analysis via double thresholding with applications in pseudo-bulk expression data

5:05 PM - 5:25 PM

Qi Xu (Carnegie Mellon University)

Co-authors: Jing Lei (Carnegie Mellon University), Kathryn Roeder (Carnegie Mellon University)