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262 * ! Wed, 8/11/2021, 1:30 PM - 3:20 PM Virtual
Emerging Statistical Theory and Methods in Deep Learning — Invited Papers
Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Health Policy Statistics Section
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
1:35 PM Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks
Xin (Shayne) Xing, Virginia Tech
2:05 PM Causal Inference via Artificial Neural Networks: From Prediction to Causation
Shujie Ma, University of California, Riverside; Xiaohong Chen, Yale University; Ying Liu, University of California, Riverside; Zheng Zhang, Renmin University of China
2:35 PM Sufficient Dimension Reduction for Classification Using Principal Optimal Transport Direction
Cheng Meng, Institute of Statistics and Big Data, Renmin University of China; Jun Yu, School of Mathematics and Statistics, Beijing Institute of Technology; Jingyi Zhang, Center for Statistical Science, Tsinghua University; Ping Ma, University of Georgia; Wenxuan Zhong, University of Georgia
3:15 PM Floor Discussion