Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: regularization returned 19 record(s)
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Monday, 08/01/2016
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Nuclear Penalized Multinomial Regression for Predicting At-Bat Outcomes in Baseball
Scott Powers; Trevor Hastie, Stanford University; Robert Tibshirani, Stanford University
9:35 AM
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Structure Testing for Sparse High-Dimensional Graphical Models: Lower Bounds and Algorithms
Matey Neykov, Princeton; Junwei Lu, Princeton; Han Liu, Princeton
11:05 AM
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Modeling, Estimation, and Interpretion of Covariate Effects in the Presence of Spatial Confounding
Ephraim M. Hanks, Penn State University; Mevin Hooten, Colorado State University; Jennifer Hoeting , Colorado State University; Erin Schliep, University of Missouri
11:50 AM
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Tuesday, 08/02/2016
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Group Discrimination Using Sparse Network Modeling of Resting-State fMRI
Maria Puhl, University of Tulsa; William Coberly, University of Tulsa; Alejandro Hernandez, University of Tulsa; Kyle Simmons, Laureate Institute for Brain Research
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Estimating Discrete Nonlinear Effects with a Single Instrumental Variable
Leonard Goff, Columbia University
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Regularized LDA for High-Dimensional Data
Jeongyoun Ahn, University of Georgia; Yongho Jeon, Yonsei University
8:35 AM
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Hierarchical Sparse Modeling: A Choice of Two Regularizers
Xiaohan Yan, Cornell University; Jacob Bien, Cornell University
8:50 AM
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Risk Estimation for High-Dimensional Lasso Regression
Daniel McDonald, Indiana University; Darren Homrighausen, Colorado State University
9:50 AM
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Integrative Analysis of Omics Data Across Multiple Conditions Using Tensor Decomposition and Regularization
Eun Jeong Min, Emory University; Yijuan Hu, Emory University; Qi Long, Emory University
10:35 AM
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Estimating Discrete Nonlinear Effects with a Single Instrumental Variable
Leonard Goff, Columbia University
10:50 AM
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Machine Learning Methods in High-Dimensional Branching Processes
Anand N. Vidyashankar, George Mason University
10:55 AM
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Convex Regularization for High-Dimensional Tensor Regression
Ming Yuan, University of Wisconsin; Garvesh Raskutti, University of Wisconsin - Madison
2:45 PM
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Wednesday, 08/03/2016
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Variable Selection and Direction Estimation for Single-Index Models via DC-TGDR Method
Xi Liu, Xiamen University; Shuangge Ma, Yale University; Wei Zhong, Xiamen University
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Resolving the Identifiability Problem with the Lasso Regularization Method in Age-Period-Cohort Analysis
Beverly Fu; Wenjiang Fu, University of Houston
11:35 AM
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COCACOLA: Binning Metagenomic Contigs Using Sequence COmposition, Read CoverAge, CO-Alignment, and Paired-End Read LinkAge
Fengzhu Sun, University of Southern California; Yang Lu, University of Southern California; Ting Chen, University of Southern California; Jed Fuhrman, University of Southern California
2:05 PM
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A Regularization Scheme on Word Occurrence Rates That Improves Estimation and Interpretation of Topical Content
Edoardo M. Airoldi, Harvard
2:55 PM
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