Contributed Papers

Advances in Transfer Learning

Tue, Aug 5, 10:30 AM - 12:20 PM Room CC-103B Music City Center

Jingbo LiuChair

Section on Statistical Learning and Data Science

7 Presentations

Adaptive Deep Transfer Learning in high dimensional regression

10:35 AM - 10:50 AM

Co-authors: Yue WU, Jie Hu (University of Pennsylvania), Yue WU, Yudong Wang (University of Pennsylvania, Perelman School of Medicine), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Neural networks Nonparametric regression Transfer learning

Domain Adaptation Optimized for Robustness in Mixture populations

10:50 AM - 11:05 AM

Co-authors: Keyao Zhan (Harvard University), Zijian Guo (Rutgers University), Keyao Zhan (Harvard University), Tianxi Cai (Harvard University), Molei Liu (Columbia University), Xin Xiong (Harvard University)

Domain adaptation Multi-source data Mixture population Group distributional robustness

FASTER: Feature Alignment and Structured Transfer via Efficient Regularization

11:05 AM - 11:20 AM

Co-authors: Iris Zhang (New York University), Yang Feng (New York University), Iris Zhang (New York University)

Transfer Learning Heterogeneous Feature Space Feature Alignment Regularization

Heterogeneous transfer learning for high dimensional regression with feature mismatch

11:20 AM - 11:35 AM

Co-authors: Jae Ho Chang (The Ohio State University), Jae Ho Chang (The Ohio State University), Massimiliano Russo (The Ohio State University), Subhadeep Paul (The Ohio State University)

Transfer Learning Data integration Trustworthy AI Feature Mismatch Penalized regression

MTL-MICE: Multi-Task Learning in Multiple Imputation by Chained Equation

11:35 AM - 11:50 AM

Co-authors: Yuyu(Ruby) Chen (New York University), Yang Feng (New York University), Yuyu(Ruby) Chen (New York University)

Multi-Tasking Learning Missing Data Multiple Imputation Transfer learning High-dimensional inference Lasso

Privacy-Preserving Transfer Learning Approach

11:50 AM - 12:05 PM

Co-authors: Tingyin Wang

transfer learning privacy-preserving feature selection high-dimensional data

Transfer Learning Under High-Dimensional Graph Convolutional Regression for Node Classification

12:05 PM - 12:20 PM

Co-authors: Jiachen Chen (Boston University School of Public Health), Jiachen Chen (Boston University School of Public Health), Danyang Huang (Renmin University of China), Liyuan Wang (Renmin University of China), Kathryn Lunetta (Boston University School of Public Health), Debarghya Mukherjee (Boston University), Huimin Cheng (Boston University)

Transfer learning Graph convolutions High-dimensional Node classification