Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: variational returned 27 record(s)
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Monday, 07/30/2018
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Variational Analysis of Empirical Risk Minimization
Andrew B Nobel, University of North Carolina at Chapel Hill; Kevin McGoff, UNC Charlotte
8:35 AM
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Variational Approximation for Importance Sampling
Xiao Su, University of Illinois at Urbana Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
9:50 AM
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Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:20 AM
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Statistical Properties of Variational Bayes
Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University; Yun Yang, Florida State University
11:25 AM
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Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM
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Covariances, Robustness, and Variational Bayes
Ryan Giordano; Tamara Broderick, Massachusetts Institute of Technology; Michael Jordan, UC Berkeley
3:25 PM
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Tuesday, 07/31/2018
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Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
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Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:45 AM
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Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Fred Hutchinson Cancer Research Center
11:25 AM
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Gaussian Variational Approximation for High-Dimensional State Space Models
Robert Kohn, Univ of New South Wales; Matias Quiroz , University of New South wales ; David J Nott, National University of Singapore
2:05 PM
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Variational Bayes Estimation of Time Series Copulas for Multivariate Ordinal and Mixed Data
Michael Stanley Smith, University of Melbourne; Ruben Loaiza-Maya, Unviersity of Melbourne
3:05 PM
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Wednesday, 08/01/2018
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Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan
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Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
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A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
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Black Box Variational Inference
Rajesh Ranganath, NYU Courant Institute of Mathematical Science
9:35 AM
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Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
9:35 AM
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A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
9:40 AM
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Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan
9:55 AM
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Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM
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Variational EM Type Algorithm Using Divergences:Applications to Privacy Analytics
Lei Li, George Mason University; Anand N Vidyashankar, George Mason University
2:35 PM
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Thursday, 08/02/2018
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Variational Inference for Proportional Hazards Model with Power Prior in Oncology Studies
Bo Jin, Boston Biomedical Inc.; Yue Chang, Boston Biomedical Inc
8:35 AM
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Gaussian Process Selections in Semiparametric Regression for Multi-Pathway Analysis
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
8:50 AM
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A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
8:55 AM
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Latent Space Approaches to Community Detection in Dynamic Networks
Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:15 AM
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Frailty Model for Time-To-Event Data on a Social Network
Fangda Song, The Chinese University of Hong Kong; Jing Chu, University of Michigan; Yingying Wei, The Chinese University of Hong Kong
9:20 AM
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Global Mean-Field Variational Bayes for Density Regression
Tommaso Rigon, Bocconi University; Daniele Durante, Bocconi University
9:55 AM
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