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Keyword Search Criteria: consistency returned 23 record(s)
Sunday, 07/30/2017
Scalable Bayes Under Informative Sampling
Sanvesh Srivastava, University of Iowa; Terrance Savitsky, U.S. Bureau of Labor Statistics
3:05 PM

Tree Based Weighted Learning for Estimating Individualized Treatment Rules with Censored Data
Yifan Cui, University of North Carolina at Chapel Hill; Ruoqing Zhu, University of Illinois Urbana-Champaign; Michael R Kosorok, University of North Carolina at Chapel Hill
3:20 PM

Walk on Random Forests
Erwan Scornet, Ecole Polytechnique; GĂ©rard Biau, University Paris 6; Jean-Philippe Vert, Mines Institut Curie
4:05 PM

Sequential Outcome-Weighted Multicategory Learning for Estimating Optimal Individualized Treatment Rules
Xuan Zhou
4:20 PM

Monday, 07/31/2017
Statistical consistency of multi-view correlation analysis with many-to-many associations
Akifumi Okuno, Kyoto University and RIKEN AIP; Hidetoshi Shimodaira, Kyoto University and RIKEN AIP


Estimation of Parameters in a Class of Dynamic Network Models
Wei Zhao, North Carolina State University
11:05 AM

Consistency of Classical Variogram Estimators on the Sphere
Haimeng Zhang, University of North Carolina at Greensboro; Chunfeng Huang, Indiana University - Bloomington; Wenshuang Wang, Mississippi State University; Chris Vanlangenberg, APEX Analytix
2:05 PM

Strong Sure Screening of Ultra-High-Dimensional Categorical Data Exhibiting Trend
Randall Reese, Utah State University; Guifang Fu, Utah State University; Xiaotian Dai, Utah State University
2:50 PM

High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
Satyajit Ghosh, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
3:05 PM

Resolving Balance Complex Discrepancies in the Presence of Negative Data
Laura Bechtel, U.S. Census Bureau; Nicole Czaplicki, U.S. Census Bureau; Maria Garcia, U.S. Census Bureau; Jeremy Knutson, U.S. Census Bureau
3:05 PM

Tuesday, 08/01/2017
Causal Structure Learning in High-Dimensional Settings
Preetam Nandy, University of Pennsylvania
11:05 AM

Is Tennis' Time Violation Policy Unfair? Understanding the Time-To-Serve of Professional Tennis Players Using a Hierarchical Bayesian Model
Stephanie Kovalchik, Tennis Australia; James Albert, Bowling Green State University
11:15 AM

A Variational Bayesian Algorithm for Sparse PCA
Feng Liang, University of Illinois at Urbana Champaign; Yunbo Ouyang, University of Illinois at Urbana Champaign; Jianjun Hu, Union Bank
11:50 AM

Model-Selection Consistency of Forward Selection in High-Dimensional Regression
Jerzy Wieczorek, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
2:20 PM

Wednesday, 08/02/2017
Whiteout: Gaussian Adaptive Regularization Noise in Deep Neural Networks
Yinan Li, University of Notre Dame; Ruoyi Xu, University of Science and Technology of China; Fang Liu, University of Notre Dame


Whiteout: Gaussian Adaptive Regularization Noise in Deep Neural Networks
Yinan Li, University of Notre Dame; Ruoyi Xu, University of Science and Technology of China; Fang Liu, University of Notre Dame
8:55 AM

Community Detection in Multi-Relational Data Through Multi-Layer Stochastic Blockmodel
Yuguo Chen, University of Illinois at Urbana-Champaign
9:00 AM

Consistency in Professional Sports: The NFL's Parity Paradox
Michael J. Lopez, Skidmore College; Gregory Matthews, Loyola University Chicago; Benjamin Baumer, Smith College
9:15 AM

Rank Based Estimation for Double Generalized Linear Model
Brice Merlin Nguelifack, United States Naval Academy; Guy-vanie M. Miakonkana, African School of Economics; Eddy Kwessi, Trinity University
10:05 AM

Decorrelation of Covariates for High-Dimensional Sparse Regression
Yuan Ke, Princeton University; Jianqing Fan, Princeton University; Kaizheng Wang, Princeton University
10:50 AM

Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM

Variable Selection for highly correlated predictors
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
11:20 AM

Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics
Qingpo Cai, Emory University-Rollins School of Public Health; Jian Kang, University of Michigan; Tianwei Yu, Emory University
11:55 AM

 
 
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