Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
40
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-345
Statistical Learning: Theory and Methods — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Zhengling Qi, University of North Carolina, Chapel Hill
2:05 PM
Matched Learning (M-Learning) for Estimating Optimal Individualized Treatment Rules
—
Peng Wu, Columbia University ; Yuanjia Wang , Columbia University
2:20 PM
Matrix Completion with Covariate Information
—
Xiaojun Mao, Iowa State University ; Song Xi Chen, Iowa State University ; Raymond Wong, Iowa State University
2:35 PM
Constant-Gain Stochastic Gradient Algorithm in Nonstationary Environment
—
Jingyi Zhu, Johns Hopkins University Applied Mathematics and Statistics ; James C Spall, Applied Physics Laboratory
2:50 PM
Statistical Distances and Two-Sample Multivariate Goodness-of-Fit Tests
—
Yang Chen, University at buffalo, Department of Biostatistics ; Marianthi Markatou, University at buffalo, Department of Biostatistics ; Georgios Afendras, University at buffalo, Department of Biostatistics ; Bruce George Lindsay, The Pennsylvania State University, Department of Statistics
3:05 PM
A Smoothed Monotonic Regression via L2 Regularization
—
Oleg Sysoev, Linkoping University ; Oleg Burdakov, Linkoping University
3:20 PM
Estimation of Henze-Penrose Mutual Information via Minimal Spanning Trees
—
Salimeh Yasaei Sekeh, EECS, University of Michigan ; Alfred Hero, EECS, University of Michigan
3:35 PM
Optimal Robust Estimation of the Heavy-Tail Exponent
—
Shrijita Bhattacharya, University of Michigan ; Stilian Stoev, University of Michigan