Contributed Speed

SPEED 5: New Developments in Statistical Learning and Data Science, Part 1

Mon, Aug 7, 10:30 AM

Lifetime Data Science Section co: Section on Statistical Graphicsco: Section on Statistical Learning and Data Scienceco: Section on Statistics in Imaging

18 Presentations

Gradient-Free Kernel Conditional Stein Discrepancy Goodness of Fit Testing

10:35 AM - 10:40 AM

ELHAM AFZALI (University of Manitoba)

Co-authors: Saman Muthukumarana (University of Manitoba)

Direct covariance matrix estimation with compositional data

10:40 AM - 10:45 AM

Piotr Suder (Duke University)

Co-authors: Aaron Molstad (University of Florida), Karl Oskar Ekvall (Karolinska Institute)

Robust Federated Learning of Individualized Treatment Rules

10:45 AM - 10:50 AM

Xinlei Chen

Co-authors: Victor Talisa (University of Pittsburgh), Chung-Chou Chang (University of Pittsburgh), Lu Tang (University of Pittsburgh)

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning

10:50 AM - 10:55 AM

Ye Shen (North Carolina State University)

Co-authors: Cai Hengrui (Department of Statistics at University of California Irvine), Rui Song (Amazon.com Services, Inc)

A supervised distance-based feature selection algorithm in multiple mixed outcomes

10:55 AM - 11:00 AM

Ziqian Zhuang

Co-authors: Wei Xu (University of Toronto)

Pregnancy Risk Monitoring With Smart Devices And Interpretable Machine Learning

11:00 AM - 11:05 AM

Jaya Kolluri (The Winsor School)

Mini-batching Offers Improved Performance for Second Order Optimizers for Deep Neural Networks

11:10 AM - 11:15 AM

Co-authors: Erik Silk (University of Illinois Urbana-Champaign), Swarnita Chakraborty (Washington State University), Nairanjana Dasgupta (Washington State University), Andrew Lumsdaine (University of Washington), Tony Chiang (Pacific Northwest National Laboratory)

Variable selection via group concave regularized deep neural networks

11:15 AM - 11:20 AM

Bin Luo

Co-authors: Susan Halabi (Duke University)

WITHDRAWN Disentangling Mixtures of Convolutional Distributions on Simplices

11:20 AM - 11:25 AM

Co-authors: Sunrit Chakraborty (University of Michigan), Long Nguyen (University of Michigan)

rHMM: A New Regularized Algorithm-based Hidden Markov Model for High-dimensional Longitudinal Data Analysis

11:30 AM - 11:35 AM

Man Chong Leong (University of Florida)

Co-authors: Ji-Hyun Lee (University of Florida), XiangYang Lou

Improving building energy consumption predictions using Machine Learning methods

11:35 AM - 11:40 AM

Letetia Addison (The University of the West Indies)

Co-authors: Kevan Rajaram (The University of the West Indies, St. Augustine Campus), Sai Pravallika Myneni (Department of Computer Science & Engineering, VR Siddhartha Engineering College), Ken Manohar (The University of the West Indies, St. Augustine Campus)

Asymptotic Properties of Deep Neural Network Sieve Estimators

11:45 AM - 11:50 AM

Chang Jiang

Fisher versus Neyman-Pearson Paradigm in Hypothesis Testing

11:50 AM - 11:55 AM

Adel Mohammadpour (BayesError.com)

Co-authors: Hossein Kazemzadeh G. (Amirkabir University of Technology)

Regression Analysis of Sparse Zero-inflated Data

11:55 AM - 12:00 PM

Hani Aldirawi

Alternating mirror descent for online Gaussian mixture models

12:00 PM - 12:05 PM

Shiva Rahimipour (McMaster University)

Co-authors: Peter A. Tait (McMaster University), Paul D. McNicholas (McMaster University)

Identification of Ordinal clusters with Sparse Monotone Generalized Additive Model

12:05 PM - 12:10 PM

Seongbin An (Department of Industrial & Systems Engineering, KAIST)

Co-authors: Jeongyoun Ahn (Department of Industrial & Systems Engineering, KAIST), Hyunwoo Cha (Graduate School of Data Science, KAIST)

Interpretable Classification for Multivariate Gait Analysis of Cerebral Palsy

12:10 PM - 12:15 PM

Changwon Yoon (Department of Industrial & Systems Engineering, KAIST)

Co-authors: Yongho Jeon (Yonsei University), Hosik Choi (Department of Artificial Intelligence, University of Seoul), Soonsun Kwon (Department of Mathematics, Ajou University), Jeongyoun Ahn (Department of Industrial & Systems Engineering, KAIST)

An MCEM algorithm for consistent estimation in Network-linked high-dimensional multinomial Probit

12:15 PM - 12:20 PM

Rashmi Ranjan Bhuyan (University of Southern California)

Co-authors: Trambak Banerjee, Bhaswar Bhattacharya (University of Pennsylvania, Wharton School of Business), Gourab Mukherjee (University of Southern California)

Session participants

Jacob Bien (University of Southern California)

Participant