Contributed Poster Presentations: Section on Statistical Learning and Data Science -- JSM 2023

29 Accelerate Recurrent Neural Networks via Decomposition and Parallelization

Co-authors: Feiqing Huang (The University of Hong Kong), Kexin Lu (The University of Hong Kong), Guodong Li (University of Hong Kong)

31 Estimation and Inference on Pointwise Mutual Information Matrix

Zhiwei Xu

Co-authors: Shuting Shen (Harvard University), Ziming Gan, Doudou Zhou, Junwei Lu (Harvard T.H. Chan School of Public Health), Tianxi Cai (Harvard University)

32 Improving Variable Selection in Beta Regression Models using Correlated Resampling

Frederic Bertrand (University of Technology of Troyes)

Co-authors: Myriam Maumy-Bertrand (Universite De Technologie De Troyes)

34 Integrative Factorization for Multiple Linked Tensors

Zhiyu Kang

Co-authors: Eric Lock (University of Minnesota)

37 Machine Learning methods for bias correction and precision optimization using covariate adjustment

Amos Okutse (Brown University)

Co-authors: Joseph Hogan (Brown University)

38 MoatPlus: Price Anomaly Detection System at Scale for E-commerce

Akshit Sarpal (Walmart Labs)

Co-authors: Qiwen Kang, Lijie Wan (Walmart Lab, Sunnyvale)

39 Model Improvement with Machine Learning Techniques

Deepshikha Sanjel (Minnesota State University, Mankato)

Co-authors: Jacob Callahan (Minnesota State University)

40 PLS models and their extension for big data

Myriam Maumy-Bertrand (Universite De Technologie De Troyes)

Co-authors: Frederic Bertrand (University of Technology of Troyes)

41 Post-selection inference for e-value based confidence intervals

Ziyu Xu

Co-authors: Ruodu Wang (University of Waterloo), Aaditya Ramdas (Carnegie Mellon University)

42 Random effects expectation-maximization (RE-EM) tree: A catalyst in classifying longitudinal data

Araf Jahin

Co-authors: Md Jobayer Hossain (Nemours Biomedical Research, A.I. DuPont Children's Hospital)

43 ReBoot: Distributed statistical learning via refitting Bootstrap samples

Yumeng Wang

Co-authors: Ziwei Zhu (University of Michigan, Ann Arbor)

44 Targeted Optimal Treatment Regime Learning Using Summary Statistics

Jianing Chu (North Carolina State University)

Co-authors: Wenbin Lu (North Carolina State University), Shu Yang (North Carolina State University, Department of Statistics)

46 Valid Inference for Machine Learning Model Parameters

Neil Dey

Co-authors: Jonathan Williams (North Carolina State University)

47 Wasserstein Tangential PCA for Probability Measures

Peng Xu

Co-authors: Xiaohui Chen (University of Illinois at Urbana-Champaign), Young-Heon Kim (University of British Columbia)

WITHDRAWN Alternative Estimators in the Poisson Inverse Gaussian Regression Model with Multicollinearity

Co-authors: Muhammad Amin (University of Sargodha)

WITHDRAWN Inference for nonstationary economic time series

Co-authors: Marie-Christine Duker (Cornell University), David Matteson (Cornell University)

WITHDRAWN IntelliCare: Unified Intelligence for Predictive and Explanatory Care in Human Aging

Co-authors: Eashan Adhikarla (Department of Computer Science and Engineering, Lehigh University), Jun Yu, Kai Zhang (Lehigh University)

WITHDRAWN The Weighted Latent Space Edge Clustering Model for Network Data

Haomin Li (University of Iowa)

Co-authors: Daniel Sewell (University of Iowa)

Contributed Poster Presentations: Section on Statistical Learning and Data Science

18 Presentations