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Keyword Search Criteria: Regularization returned 31 record(s)
Sunday, 07/30/2017
Bayesian Causal Forests
Richard Hahn, University of Chicago; Jared S Murray, Carnegie Mellon University; Carlos Carvalho, University of Texas at Austin
2:05 PM

ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data
Jacqueline J Meulman, Leiden University
2:05 PM

Matrix Completion with Covariate Information
Xiaojun Mao, Iowa State University; Song Xi Chen, Iowa State University; Raymond Wong, Iowa State University
2:20 PM

Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM

A Smoothed Monotonic Regression via L2 Regularization
Oleg Sysoev, Linkoping University; Oleg Burdakov, Linkoping University
3:05 PM

Slope Meets Lasso in Sparse Linear Regression
Pierre Bellec, Rutgers University
3:25 PM

Sparse Precision Matrix Estimation with Bayesian Regularization
Lingrui Gan, University of Illinois At Urbana and Champaign; Naveen N Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana Champaign
4:35 PM

Use of Brain Connectivity Information in Regression Parameter Estimation via Generalized Regularization
Damian Brzyski, Indiana University; Marta Karas, Indiana University; Joaquin Goni, Purdue University; Beau Ances, Washington University School of Medicine; Timothy Randolph, Fred Hutchinson Cancer Research Center; Jaroslaw Harezlak, Indiana University School of Public Health
5:25 PM

Bayesian Regression Using an Approximated Solution to the Penalized Least Squares Minimization Problem
Eduardo Trujillo Rivera
5:25 PM

Neighborhood Selection for Gaussian Graphical Model with Vecotr-Valued Nodes
Yanzhen Deng
5:35 PM

Monday, 07/31/2017
A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models
Jing Jiang, Boston College; Zhushan Li, Boston College


Weighted Quantile Regression Splines using Total Variation Regularization
Jae-Hwan Jhong, Korea University; Ja-Yong Koo, Korea University


A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models
Jing Jiang, Boston College; Zhushan Li, Boston College
9:40 AM

Time Series Model Fitting and Regularization Methods
Soumendra N Lahiri, North Carolina State University
9:50 AM

Discovery of Structural Brain Imaging Markers of HIV-Associated Outcomes Using Connectivity-Informed Regularization Approach
Jaroslaw Harezlak, Indiana University School of Public Health; Damian Brzyski, Indiana University; Marta Karas, Indiana University; Joaquin Goni, Purdue University; Beau Ances, Washington University School of Medicine; Timothy Randolph, Fred Hutchinson Cancer Research Center
10:55 AM

A Hierarchy of Brain Networks Revealed by MVPA Performance Metrics
Stephen Strother, Baycrest & University of Toronto; Cheryl Grady, Baycrest & University of Toronto
11:00 AM

Weighted Quantile Regression Splines using Total Variation Regularization
Jae-Hwan Jhong, Korea University; Ja-Yong Koo, Korea University
11:10 AM

Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks
Dean Eckles, MIT; Alexander Peysakhovich, Facebook
2:05 PM

Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis
Jie Ren, Department of Statistics, Kansas State University; Yinhao Du, Department of Statistics, Kansas State University; Dewey Molenda, Department of Statistics, Kansas State University; Yu Jiang, School of Public Health, University of Memphis; Wu Cen, Department of Statistics, Kansas State University
3:05 PM

Graph Constrained Regularization for Nonparametric Instrumental Variable Regression in Genetical Genomic Analysis
Bin Gao, Janssen Research & Development, LLC; Yuehua Cui, Michigan State University
3:20 PM

Tuesday, 08/01/2017
Meta-Analysis of Conflicting Outcome Measures
Sitaram Vangala, UCLA Health System


Sparse semi-parametric generated effect modifiers
Hyung Park, Columbia University; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; R. Todd Ogden, Department of Biostatistics, Columbia University
9:50 AM

Sequential Co-Sparse Factor Regression
Aditya Mishra, University of Connecticut; Kun Chen, Department of Statistics, University of Connecticut; Dipak K Dey, university of connecticut
10:05 AM

Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments
Changjing Wu, Peking University; Minghua Deng, Peking University; Wei Lin, Peking University
3:20 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

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

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
11:20 AM

Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM

A New Perspective on Boosting in Linear Regression via Modern Optimization
Rahul Mazumder, Massachusetts Institute of Technology; Robert Freund, Massachusetts Institute of Technology; Paul Grigas, University of California, Berkeley
3:20 PM

Thursday, 08/03/2017
Convex Triclustering
Brian Gaines, North Carolina State University; Eric Chi, North Carolina State University; Will Wei Sun, University of Miami; Hua Zhou, University of California, Los Angeles
10:55 AM

 
 
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