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Activity Details

519 Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-348
Sparse Statistical Learning — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Sumanta Basu, Cornell University
10:35 AM Rare Feature Selection in High Dimensions — Xiaohan Yan, Cornell University ; Jacob Bien, Cornell University
10:50 AM Decorrelation of Covariates for High-Dimensional Sparse Regression — Yuan Ke, Princeton University ; Jianqing Fan, Princeton University ; Kaizheng Wang, Princeton University
11:05 AM Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization — Xingguo Li, University of Minnesota ; Jarvis Haupt, University of Minnesota ; Zhaoran Wang, Princeton University ; Junwei Lu, Princeton University ; Han Liu, Princeton University ; Raman Arora, Johns Hopkins University ; Tuo Zhao, Georgia Institute of Technology
11:20 AM Properties of Data-Dependent Variable Selection Methods — Sen Tian, New York University, Stern School of Business ; Clifford M. Hurvich, New York University, Stern School of Business ; Jeffrey S. Simonoff, New York University, Stern School of Business
11:35 AM Variable Selection for Massive Data Using the Divide And — Lei Yang, New York University ; Yixin Fang, New Jersey Institute of Technology ; Junhui Wang, CityU ; Yongzhao Shao, New York University-School of Medicine
11:50 AM Efficient Bounds for Best Subset Selection Using Mixed Integer Linear Programming — Ana Kenney ; Francesca Chiaromonte, Penn State University ; Giovanni Felici, IIASI CNR
12:05 PM Variable Selection for a Mixture of Linear Mixed Effects Models — Yian Zhang, New York University ; Lei Yang, New York University ; Yongzhao Shao, New York University-School of Medicine
 
 
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