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: Optimization returned 57 record(s)
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Sunday, 07/31/2016
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The PICASSO Package for High Dimensions Nonconvex Sparse Learning in R
Xingguo Li; Tuo Zhao, The Johns Hopkins University; Tong Zhang, Rutgers University; Han Liu, Princeton
2:25 PM
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Biclustered Matrix Completion
Eric Chi, North Carolina State University
2:25 PM
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A Study of Optimal Designs for GLMs Using Particle Swarm Optimization
Zhongshen Wang, Arizona State University; John Stufken, Arizona State University; Wanchunzi Yu, Arizona State University
4:05 PM
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Standardized Maximim D-Optimal Designs for Enzyme Kinetic Inhibition Models
Ray-Bing Chen, National Cheng Kung University; Ping-Yang Chen, National Cheng Kung University; Heng-Chin Tung, National Cheng Kung University; Weng Kee Wong, University of California at Los Angeles
4:20 PM
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Blessing of Massive Scale: Spatial Graphical Model Estimation with a Total Cardinality Constraint Approach
Ethan Fang, Princeton; Han Liu, Princeton; Mendi Wang, Princeton
5:35 PM
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Monday, 08/01/2016
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Design of Experiments for Hydrophobic Interaction Chromatography Optimization
Na Zhang, Bristol-Myers Squibb; Lily Squibb Tsang, Bristol-Myers Squibb; Kedar Dave, Bristol-Myers Squibb; Joseph Calzada, Bristol-Myers Squibb; Gregory A. Barker, Bristol-Myers Squibb; Angela Lewandowski, Bristol-Myers Squibb; Zhengjian Li, Bristol-Myers Squibb
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A Mathematical Optimization Approach to Balancing Time Series: Statistics Canada's GSeriesTSBalancing
Michel Ferland, Statistics Canada; Susie Fortier, Statistics Canada; Joana Bérubé, Statistics Canada
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Optimizing Adaptive Enrichment Designs
Aaron Fisher, The Johns Hopkins University; Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
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On the Convergence Rates of Expected Improvement Methods
llya O. Ryzhov, University of Maryland
8:35 AM
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Totally Positive Exponential Families, Graphical Models, and Convex Optimization
Piotr Zwiernik, Pompeu Fabra University; Caroline Uhler, MIT; Steffen Lauritzen, University of Copenhagen
9:25 AM
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Simulation and Optimization Using Minimum Energy Designs
Roshan Joseph Vengazhiyil, Georgia Institute of Technology; Dasgupta Tirthankar, Harvard; Rui Tuo, Chinese Academy of Sciences; Jeff Wu, Georgia Institute of Technology
9:25 AM
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Utilizing Experimental Designs for Multi-Country Consumer Tests
Jason Parcon, PepsiCo Global R&D
9:50 AM
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Stochastic Optimization for High-Dimensional Mixed Effect Generalized Linear Models
Jun Guo, University of Michigan; Yves F. Atchade, University of Michigan
9:50 AM
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Optimal Tests for Multiple Binary Endpoints
Dong Xi; Robin Ristl, Medical University of Vienna; Ekkehard Glimm, Novartis; Martin Posch, Medical University of Vienna
9:55 AM
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Optimization Under Uncertainty: Combining Statistics and Stochastic Optimization
Jean Francois Puget, IBM
10:35 AM
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An ADMM-Based Algorithm for Envelope Estimation
Emre Barut, The George Washington University
10:50 AM
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Identifying Interactions Using Convex Optimization
Jacob Bien, Cornell University ; Robert Tibshirani, Stanford University; Noah Simon, University of Washington
10:55 AM
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Evidence-Based Optimization of Complex Infrastructures
Pascal Van Hentenryck
10:55 AM
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Optimization Under Uncertainty: Combining Statistics and Stochastic Optimization
Mark Squillante, IBM Research
11:15 AM
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Scalars-on-Function Linear Regression with Large Number of Functional Predictors
Ruiyan Luo; Xin Qi, Georgia State University
11:35 AM
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Brownian Motion Tree Models: Theory and Applications
Caroline Uhler, MIT
2:45 PM
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What Can We Learn from Exact Calculation of Histograms?
James Weber
3:20 PM
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Cell Type-Specific Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration Using Expression Data
Zeya Wang, Rice University; Jeffrey S. Morris, MD Anderson Cancer Center; Jaeil Ahn, Georgetown University; Svitlana Tyekucheva, Harvard; Bo Li, Harvard; Wei Lu, MD Anderson Cancer Center; Ximing Tang, MD Anderson Cancer Center; Ignacio I. Wistuba, MD Anderson Cancer Center; Chris Holmes, University of Oxford; Wenyi Wang, MD Anderson Cancer Center
3:35 PM
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Tuesday, 08/02/2016
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A Particle Swarm Optimization Algorithm to Allocate U.S. Regional Blood Transfers in Simulated Earthquakes
Arianna Simonetti, FDA/CBER; Hussein Ezzeldin, FDA/CBER; Richard Forshee, FDA/CBER
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Combining Multivariate Stochastic Process Models with Filter Methods for Constrained Optimization
Tony Pourmohamad, University of California at Santa Cruz; Herbie Lee, University of California at Santa Cruz
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Adaptive Randomized Trial Designs: New Methods and Software
Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
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Adaptive Treatment Allocations for Emerging Infectious Diseases
Eric Laber, North Carolina State University; Nicholas Meyer, North Carolina State University; Brian J. Reich, North Carolina State University; Krishna Pacifici, North Carolina State University; Tao Hu, North Carolina State University
9:00 AM
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Nonparametric Regression with Adaptive Smoothness via a Convex Hierarchical Penalty
Asad Haris, University of Washington; Ali Shojaie, University of Washington; Noah Simon, University of Washington
10:05 AM
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Particle EM for Variable Selection
Veronika Rockova, The Wharton School
10:35 AM
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Innovative and Efficient Definitive Screening Designs with an Asymptotic Method for Defining the End of Primary Drying Time to Optimize the Freeze-Drying Process
Oksoun Yee, Bristol-Myers Squibb; Johnathan Goldman, Bristol-Myers Squibb; Haresh More, Bristol-Myers Squibb
12:05 PM
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Sample Size Optimization of the Consumer Price Index: An Implementation Using R
Harold Gomes, Bureau of Labor Statistics; William Johnson, Bureau of Labor Statistics
2:20 PM
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Moment-Matching Variational Inference
Matthew Hoffman, Adobe
2:25 PM
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Optimal Designs for Longitudinal Studies via Functional Data Analysis
Hao Ji, University of California at Davis; Hans-Georg Mueller, University of California at Davis
3:05 PM
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Sample Design for Longitudinal Multiphase Samples with Misclassification
Andrea Piesse, Westat; Sharon Lohr, Westat
3:35 PM
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Wednesday, 08/03/2016
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Text-Mining Using Discrete Optimization: An Application to Automate Conference Scheduling
Jason Pan, Pfizer; Kelly Zou, Pfizer; Ching-Ray Yu, Pfizer; Franklin W. Sun, Pfizer; Martin O. Carlsson, Pfizer
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Sampling with Minimal Strata Sample Size Requirements
Stanislav Kolenikov, Abt SRBI; Igor Griva, George Mason University
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Impact of Adaptive Design on Optimization of Pharmaceutical Portfolios
Zoran Antonijevic
8:35 AM
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Sampling with Minimal Strata Sample Size Requirements
Stanislav Kolenikov, Abt SRBI; Igor Griva, George Mason University
8:50 AM
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Pseudo-Proximal Map-Iterated Filtering
Dao Nguyen, University of Michigan
8:50 AM
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Maximizing the Efficiency of Proof-of-Concept Studies and of Arrays of Proof-of-Concept Studies for Multiple Drugs or Indications
Robert Beckman, Georgetown University Medical Center
8:55 AM
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Minimizing Sum of Truncated Convex Functions and Its Applications
Tzu-Ying Liu, University of Michigan; Hui Jiang, University of Michigan
9:05 AM
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Accelerated Schemes for a Class of Variational Inequalities
Yuyuan Ouyang; Yunmei Chen, University of Florida; Guanghui Lan, University of Florida
9:20 AM
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Fitting Convex Sets to Data via Matrix Factorization
Venkat Chandrasekaran
10:35 AM
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Covariate Balancing Propensity Score via Tailored Loss Function
Qingyuan Zhao, Stanford University; Trevor Hastie, Stanford University
11:05 AM
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Particle Swarm Optimization--Assisted Metropolis Hastings Algorithms
Matthew Simpson, University of Missouri; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
11:15 AM
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Approximate Likelihood Methods for Estimation and Prediction in Gaussian Process Regression Models for Computer Experiments
Ryan Parker, SAS Institute; Brian J. Reich, North Carolina State University; Chris Gotwalt, SAS Institute
11:35 AM
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Sequential Pareto Optimization of Physical Systems Using Calibrated Computer Simulators
Po-Hsu Allen Chen, The Ohio State University; Angela Dean, The Ohio State University; Thomas Santner, The Ohio State University
11:50 AM
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Thursday, 08/04/2016
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Online Algorithms for Statistical Learning
Josh Day, North Carolina State University
8:35 AM
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Degradation and Maintenance Modeling Using the Inverse Gaussian Process
Bo Henry Lindqvist, Norwegian University of Science and Technology; Odd Eirik Farestveit, Accenture
8:55 AM
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Estimation for Bivariate Quantile Varying Coefficient Model
Linglong Kong, University of Alberta; Haoxu Shu, University of Alberta; Chad He, Fred Hutchinson Cancer Research Center; Giseon Heo, University of Alberta; Martin Styner, The University of North Carolina at Chapel Hill; John Gilmore, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill
9:55 AM
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High-Dimensionality Effects on the Efficient Frontier
Rituparna Sen, Indian Statistical Institute
10:35 AM
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Coupling of Particle Filters with Applications to Score and Smoothing Estimators
Pierre E. Jacob, Harvard; Fredrik Lindsten, Uppsala University; Thomas Schön, Uppsala University
11:05 AM
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Exact Subset Selection in Regression via Modern Optimization
Rahul Mazumder, MIT
11:15 AM
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Space-Filling Exploratory Experimental Design
Kasturi Talapatra, North Carolina State University; Eric Laber, North Carolina State University; Leonard Stefanski, North Carolina State University
11:35 AM
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High-Dimensional Matrix-Variate Linear Discriminant Analysis
Aaron Molstad, University of Minnesota; Adam Rothman, University of Minnesota
11:50 AM
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Pathwise Coordinate Optimization for Nonconvex Sparse Learning: Algorithm and Theory
Tuo Zhao, The Johns Hopkins University; Han Liu, Princeton; Tong Zhang, Rutgers University
12:05 PM
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Sparse Mean-Variance Portfolios: A Penalized Utility Approach
David Puelz, The University of Texas; Carlos Carvalho, The University of Texas; P. Richard Hahn, The University of Chicago Booth School of Business
12:05 PM
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