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Key:

Computational Statistics
Computational Statistics
Data Science Technologies
Data Science Technologies
Data Visualization
Data Visualization
Education
Education
 
Machine Learning
Machine Learning
Practice and Applications
Practice and Applications
Software
Software
Wednesday, May 29
Thursday, May 30
Machine Learning
CS02 - Deciphering Biological Systems via Innovative Statistical Learning Methods
Invited
Thu, May 30, 10:30 AM - 12:05 PM
Grand Ballroom I
 
Organizer(s): Tian Zheng, Columbia University
Chair(s): Kun Chen, University of Connecticut

10:35 AM
Differential Network Connectivity Analysis
Ali Shojaie, University of Washington
11:05 AM
Modeling Bias in Compositional Data
David Clausen, University of Washington
11:35 AM
Extracting Biological Signals by Controlled Variable Selection
Linxi Liu, Columbia University
Machine Learning
CS08 - SADM Invited Papers
Invited
Thu, May 30, 1:30 PM - 3:05 PM
Grand Ballroom I
 
Organizer(s): Bertrand Clarke, University of Nebraska-Lincoln; Jia Li, Penn State University
Chair(s): Aaron Molstad, Fred Hutchinson Cancer Research Center

1:35 PM
Bayesian Variable Selection in High-Dimensional EEG Data Using Spatial Structured Spike and Slab Prior
Dipak K. Dey, University of Connecticut
2:05 PM
Mean Residual Function: a Tool for Exploring Patterns in Big Data
Ehsan S. Soofi, University of Wisconsin-Milwaukee
2:35 PM
Slow-kill for Big Data Learning
Yiyuan She, Florida State University
Machine Learning
CS14 - The IMS Program on Probabilistic Views of Machine Learning
Invited
Thu, May 30, 4:00 PM - 5:35 PM
Grand Ballroom I
 
Organizer(s): Eric Chi, North Carolina State University; Brad Price, West Virginia University
Chair(s): Brad Price, West Virginia University

4:05 PM
Prediction with Confidence – General Framework for Predictive Inference
Regina Liu, Rutgers University
4:35 PM
Scalable and Model-free Methods for Multiclass Probability Estimation
Helen Zhang, University of Arizona
5:05 PM
Fiducial Made Sexy: Statistical Inference for Machine Learning Problems
Thomas Lee, UC Davis
Friday, May 31
Machine Learning
PS04 - Machine Learning E-Posters, I
E-Poster
Fri, May 31, 9:45 AM - 10:45 AM
Grand Ballroom Foyer
 

2
Artificial Intelligence Mammography Model and Healthcare Savings Opportunity
Olajide Israel Ajayi, Blue Cross NC
3
The Geometry of feature embeddings in kernel discriminant analysis-deterministic or randomized
Jiae Kim, The Ohio State University
4
HARNESSING the POWER of MACHINE LEARNING METHODS in HIV VIROLOGIC FAILURE RISK PREDICTION
Presentation Allan Kimaina, brown university
5
Practical Considerations of Deep Learning in Digital Pathology
Shubing Wang, Merck
6
Identifying Shifts in Forest Communities Using Machine Learning Techniques
Trenton W Ford, University of Notre Dame
7
Rapid deployment of a Machine Learning-based derived biomarker using publicly available data sources for covariate adjusted descriptive modeling.
Presentation Albert Taylor, Origent Data Sciences
8
Adaptively Stacked Ensembles for Influenza Forecasting with Incomplete Data
Presentation Thomas Charles McAndrew, University of Massachusetts Amherst
9
Overcoming Big Data: Linking the 2014 National Hospital Care Survey to the 2014/2015 Medicare CMS Master Beneficiary Summary File
Scott Robert Campbell, National Opinion Research Center at University of Chicago
10
Comparing Performance of Lasso, Group Lasso, and Linear Regression with Categorical Predictors
Presentation Yihuan Huang, UCLA
12
ML-assisted ongoing monitoring for fighting fraud and abuse
Jose Ferreira, Google
13
Time-aggregated forecasting for ultra high dimensional regression and time-series error
Sayar Karmakar, University of Florida
14
Empirical priors for prediction in sparse high-dimensional linear regression
Yiqi Tang, NC State University
Machine Learning
CS24 - Recent Developments on Machine Learning
Invited
Fri, May 31, 10:30 AM - 12:05 PM
Regency Ballroom AB
 
Organizer(s): Xiaotong Shen, University of Minnesota
Chair(s): Xiaotong Shen, University of Minnesota

10:35 AM
Shrinking Characteristics of Precision Matrix Estimators
Adam J. Rothman, University of Minnesota
11:05 AM
P-Splines with an L1 Penalty for Repeated Measures
Hui Jiang, University of Michigan
11:35 AM
Community Detection with Dependent Connectivity
Annie Qu, University Illinois at Urbana-Champaign
Machine Learning
CS29 - The Cutting Edge in Statistical Machine Learning
Invited
Fri, May 31, 1:30 PM - 3:05 PM
Regency Ballroom AB
 
Organizer(s): Daniela Witten, University of Washington
Chair(s): Boxiang Wang, University of Iowa

1:35 PM
A Continuous-Time View of Early Stopping in Least Squares Regression
Ryan Tibshirani, Carnegie Mellon University
2:05 PM
Fused Lasso on Graphs: Applications to Nonparametric Statistical Problems
Oscar Hernan Madrid Padilla, UC Berkeley
2:35 PM
Two-Stage Computational Framework for Sparse Generalized Eigenvalue Problem
Kean Ming Tan, University of Minnesota
Machine Learning
PS05 - Machine Learning E-Posters, II
E-Poster
Fri, May 31, 3:00 PM - 4:00 PM
Grand Ballroom Foyer
 

1
Clustering Chocolate Types: Dark, White, Milk and Fruit
Kaitlyn Zhang, Stanford OHS
2
Statistical Approaches for Identifying Untargeted Metabolites Prognostic for Kidney Disease Progression in Type 2 Diabetic Patients: Application to the Chronic Renal Insufficiency Cohort Study
Jing Zhang, UCSD Moores Cancer Center
3
Genomic Determination Index
Cheng Cheng, St. Jude Children's Research Hospital
4
On Combining Data from Distinct Nonlinear Predictive Models
Presentation Amrina Ferdous, Boise State University
5
Predicting Unknown Links for Interconnected Networks
Yubai Yuan, UIUC
6
A Bayesian Structural Time Series-Based Approach for Understanding and Predicting Temperatures in the Red Sea
Nabila Bounceur, King Abdullah University of Science and Technology
7
Is robustness trade-off really inevitable?
Jungeum Kim, Purdue Department of Statistics
8
HARNESSING THE POWER OF MACHINE LEARNING METHODS IN PROSPECTIVE HIV CARE AND TREATMENT
Presentation Allan Kimaina, brown university
9
Machine Learning meets Survival Analysis for the personalized medicine
Jongyun Jung, University of Nevada, Las Vegas
10
Predicting Claims Litigation using Text Mining
Xiyue Liao, Universiry of California, Santa Barbara
11
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification
Boxiang Wang, University of Iowa
13
Comparison of Automated Liver Image Quality Evaluation Using Handcrafted Features and Convolutional Neural Networks
Wenyi Lin, University of California, San Diego
14
Statistical Learning on Next-Generation Sequencing of T cell Repertoire Data
Li Zhang, UCSF
Machine Learning
CS35 - Modern Multivariate Analysis
Invited
Fri, May 31, 3:40 PM - 5:15 PM
Regency Ballroom AB
 
Organizer(s): Adam J. Rothman, University of Minnesota
Chair(s): Adam J. Rothman, University of Minnesota

3:45 PM
The Multivariate Square Root Lasso: Computational and Theoretical Insights
Aaron Molstad, Fred Hutchinson Cancer Research Center
4:15 PM
Estimating Multiple Precision Matrices Using Cluster Fusion Regularization
Brad Price, West Virginia University
4:45 PM
$L_2$-Regularization and Some Path-Following Algorithms
Yunzhang Zhu, The Ohio State University
Machine Learning
CS46 - Recent Advancements in Deep Learning
Contributed
Fri, May 31, 5:20 PM - 6:25 PM
Regency Ballroom AB
 
Chair(s): Yunzhang Zhu, The Ohio State University

5:25 PM
Statistical Evaluation of Long Memory in Recurrent Neural Networks
Presentation Alexander Greaves-Tunnell, University of Washington
5:40 PM
On Interpretable Machine Learning
Serge Berger, Microsoft
5:55 PM
Machine Learning Methods for Modeling Animal Movement
Dhanushi Wijeyakulasuriya, Pennsylvania State University
6:10 PM
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding
Yao Li, University of California, Davis
Saturday, June 1
Machine Learning
CS51 - Machine Learning Problems in the Tech Industry
Invited
Sat, Jun 1, 10:00 AM - 11:35 AM
Regency Ballroom AB
 
Organizer(s): Ryan Tibshirani, Carnegie Mellon University
Chair(s): Ryan Tibshirani, Carnegie Mellon University

10:05 AM
Machine Learning Methods for Estimation and Inference in Differential Networks
Presentation Mladen Kolar, Chicago Booth
10:30 AM
Online and Offline Experimentation in Complex Systems
Presentation Akshay Krishnamurthy, .
10:55 AM
Modern recommendation systems: listwise collaborative ranking and non-stationary contextual bandits
James Sharpnack, UC Davis
11:20 AM
Discussant
Siva Balakrishnan, Carnegie Mellon University
Machine Learning
CS55 - Recent Advances in Statistical Machine Learning and Reinforcement Learning
Invited
Sat, Jun 1, 1:00 PM - 2:35 PM
Regency Ballroom AB
 
Organizer(s): Will Wei Sun, University of Miami Business School
Chair(s): Hua Zhou, UCLA

1:05 PM
CORALS: Co-Clustering Analysis via Regularized Alternating Least Squares
Gen Li, Columbia University
1:35 PM
Model-Based Community Detection for Networks with Node Covariates
Ji Zhu, University of Michigan
2:05 PM
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
Zheng Wen, Adobe Research
Machine Learning
CS62 - New Developments in Statistical Learning
Contributed
Sat, Jun 1, 2:45 PM - 3:50 PM
Regency Ballroom AB
 
Chair(s): Gen Li, Columbia University

2:50 PM
Flexible Functional Specification in Hierarchical Bayesian Estimation of Discrete Choices
Kali (Duke) Chowdhury, University of California, Irvine
3:05 PM
Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Yujia Deng, University of Illinois, Urbana-Champaign
3:20 PM
INDIVIDUALIZED MULTI-DIRECTIONAL VARIABLE SELECTION
Xiwei Tang, University of Virginia
3:35 PM
Quantile Regression for Big Data with Small Memory
Yichen Zhang, New York University

 

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