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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
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