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294 ! Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Uncertainty Quantification in Deep Learning — Invited Papers
Section on Bayesian Statistical Science, International Association for Statistical Computing, Association for the Advancement of Artificial Intelligence
Organizer(s): Faming Liang, Purdue University
Chair(s): Veronika Rockova, University of Chicago
3:35 PM Learning a Kernel-Expanded Stochastic Neural Network with Uncertainty Quantification
Faming Liang, Purdue University
4:05 PM Uncertainty Quantification for Sparse Deep Learning
Veronika Rockova, University of Chicago; Yuexi Wang, University of Chicago
4:35 PM Consistent Sparse Deep Learning: Theory and Computation
Qifan Song, Purdue University; Faming Liang, Purdue University; Yan Sun, Purdue University
5:15 PM Floor Discussion