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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
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204
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Mon, 8/8/2022,
2:00 PM -
3:50 PM
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CC-140A
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Statistical Computing by Deep Learning and Penalization — Contributed Papers
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Section on Statistical Computing
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Chair(s): David Shilane, Columbia University
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2:05 PM
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A Penalized Poisson Likelihood Approach to High-Dimensional Semiparametric Inference of Doubly-Stochastic Point Processes
Si Cheng, University of Washington; Ali Shojaie, University of Washington
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2:20 PM
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Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
Hillary M. Heiling, University of North Carolina Chapel Hill; Naim U. Rashid, University of North Carolina Chapel Hill; Quefeng Li, University of North Carolina Chapel Hill; Joseph G Ibrahim, University of North Carolina
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2:35 PM
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Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks
Pratik Nag, King Abdullah University of Science and Technology; Sameh Abdulah, KAUST; Yiping Hong, King Abdullah University of Science and Technology; Marc Genton, KAUST; Ying Sun, KAUST; Ghulam Qadir, Heidelberg Institute of Theoretical Studies
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2:50 PM
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Vulnerabilities of Learning Models Under Malicious Data and Attack Against Deep Neural Networks
Bowei Xi, Purdue University
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3:05 PM
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Virtual Testing Failure Analysis Using Neural Networks and Gaussian Processes
Thomas Muehlenstaedt, ArgoAI; Roman Nagy, Argo AI; Yunxin Gu, Carnegie Mellon University
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3:20 PM
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Sparse Envelope Quantile Model
Hossein Moradi Rekabdarkolaee, South Dakota State University
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3:35 PM
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Features Extraction via Bayesian Analyses Cum Mixture Probabilistic Models by Extensive Computations
Humayun Kiser, Comilla University; Mian Arif Shams Adnan, Bowling Green State University
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