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Keyword Search Criteria: optimization returned 62 record(s)
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Sunday, 07/29/2018
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High-dimensional Cost-constrained Regression via Non-convex Optimization
Yufeng Liu, University of North Carolina at Chapel Hill
2:05 PM
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Text Mining Using Discrete Optimization
Jason Pan, Pfizer Inc; Kelly H Zou, Pfizer Inc; Ching-Ray Yu, Pfizer Inc
4:05 PM
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Maximum Likelihood Estimation for Stochastic Differential Equations Using Sequential Gaussian-Process-Based Optimization
Peter Craigmile, The Ohio State University; Grant Schneider, Upstart Network; Radu Herbei, The Ohio State University
4:05 PM
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Estimation of Dynamic Conditional Correlation Matrices by a Nonlinear Common Factor Model
Craig Rolling, Saint Louis University; Yongli Zhang, Independent Researcher; Yuhong Yang, University of Minnesota
4:05 PM
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Adaptively-Tuned Particle Swarm Optimization with Application to Spatial Design
Matthew Simpson, University of Missouri; Christopher K. Wikle, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau
4:05 PM
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Point and Interval Estimations for Individualized MCID
Jiwei Zhao, State University of New York At Buffalo
4:20 PM
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LinkedIn Feed Optimization
Souvik Ghosh, LinkedIn
5:05 PM
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Monday, 07/30/2018
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Scdensity: An R Package for Shape-Constrained Kernel Density Estimation
Mark Wolters, Shanghai Center for Mathematical Sciences
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Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
Zhengling Qi, University of North Carolina, at Chapel Hill; Ying Cui, University of Southern California; Yufeng Liu, University of North Carolina at Chapel Hill; Jong-Shi Pang, University of Southern California
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SOLID: Sequential Optimization of Locally Important Dimensions
Munir Winkel, North Carolina State University; Brian Reich, North Carolina State University; Jonathan Stallings, North Carolina State University; Curtis Storlie, Mayo Clinic
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Optimization of Biostatistics Units in Health Centers
Anne-Sophie Julien, Research Centre of the CHU de Québec - Université Laval
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A Probabilistic Tool for Assessing the Laplace Approximation: Review, Optimization, and GPU Implementation
Shaun McDonald, Simon Fraser University; David Campbell, Simon Fraser University
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Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
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Sufficient Cause Interaction for Ordinal and Categorical Outcomes
Jaffer Zaidi; Tyler VanderWeele, Harvard University
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Bayesian Estimation of Analyte Concentrations using Sensor Responses and Design Optimization of a Sensor System
David Han, University of Texas At San Antonio
8:50 AM
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Making Optimal Matching Size-Scalable Using Optimal Calipers
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
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Optimal Tradeoffs Between Generalized Design Goals in Multivariate Matching
Samuel David Pimentel, University of California, Berkeley; Rachel R. Kelz, University of Pennsylvania
9:00 AM
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A Resampling Approach to Assessing Solution Quality in Stochastic Optimization
Huajie Qian, Columbia University; Henry Lam, Columbia University
9:20 AM
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Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
10:45 AM
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Sufficient Cause Interaction for Ordinal and Categorical Outcomes
Jaffer Zaidi; Tyler VanderWeele, Harvard University
10:50 AM
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A Simulation-Based Prediction and Optimization Framework for Bio-pharmaceutical Supply Chain Dynamic Risk Management
Wei Xie, Rensselaer Polytechnic Institute; Pu Zhang, Rensselaer Polytechnic Institute; Ilya O. Ryzhov, University of Maryland
10:55 AM
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Totally Positive Exponential Families, Graphical Models, and Convex Optimization
Piotr Zwiernik, Universitat Pompeu Fabra
11:35 AM
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Optimization-Based Calibration of Simulation Input Models
Henry Lam, Columbia University; Aleksandrina Goeva, Broad Institute; Huajie Qian, Columbia University; Bo Zhang, IBM Research AI
11:35 AM
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Greedy Active Learning Algorithm for Logistic Regression Models
Ray-Bing Chen, National Cheng Kung University, Taiwan; Hsiang-Ling Hsu, National University of Kaohsiung; Yuan-Chin Ivan Chang, Academia Sinica
2:35 PM
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Mechanistic Model Based Simulation for Dosing Regimen Optimization
Siyan Xu, Novartis Institutes for Biomedical Research, Inc; Yu-Yun Ho, Novartis Pharmaceuticals Corporation; Wenping Wang, Novartis Pharmaceuticals Corporation
2:35 PM
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Multilayer Tensor Factorization with Applications to Recommender Systems
Xuan Bi; Annie Qu, University of Illinois at Urbana-Champaign; Xiaotong Shen, University of Minnesota
2:50 PM
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A Scalable Classification Method Based on the Area Under the Receiver Operating Curve
Wenyi Wu, University of Michigan; Ji Zhu, University of Michigan
3:20 PM
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Tuesday, 07/31/2018
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Beach Volleyball Team Optimization
Matthew Oehler, BYU
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Desirability Functions for Evaluating Clinical Trial Design Quality
Priscilla K Yen, UCLA; Weng Kee Wong, UCLA
8:50 AM
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Feature Selection in L0 Norm: a Viable Approach
Ana Maria Kenney, Pennsylvania State University; Francesca Chiaromonte, The Pennsylvania State University; Giovanni Felici, IIASI CNR
9:05 AM
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Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization
Sean Jewell, University of Washington; Daniela Witten, University of Washington
9:25 AM
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Modeling Dynamics of V(D)J Recombination in T Cell Formation
Kingshuk Roy Choudhury, Duke University, Dept. of Biostatistics and Bioinformatics
9:50 AM
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Beach Volleyball Team Optimization
Matthew Oehler, BYU
10:40 AM
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High-Dimensional Sparse Generalized Eigenvalue Problem and Its Applications to Multivariate Statistics
Kean Ming Tan, University of Minnesota; Zhaoran Wang, Northwestern University; Han Liu, Northwestern University; Tong Zhang, Tencent Technology
10:50 AM
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Estimation and Optimization of Composite Outcomes
Daniel J Luckett, University of North Carolina at Chapel Hill; Eric Laber, North Carlina State University; Michael Kosorok, University of North Carolina at Chapel Hill
11:15 AM
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Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
Weijie Su, University of Pennsylvania; Yuancheng Zhu, University of Pennsylvania
11:35 AM
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Optimization Over Nonconvex Constraints
Wooseok Ha; Rina Foygel Barber, University of Chicago
12:05 PM
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Optimal Regression Designs Under the Second-Order Least Squares Estimator
Julie Zhou, University of Victoria; Chi-Kuang Yeh, University of Victoria
2:05 PM
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Bayesian Spatial Clustering with Particle Optimization
Sameer Deshpande, University of Pennsylvania, Wharton Statistics; Cecilia Balocchi, University of Pennsylvania, Wharton Statistics; Shane Jensen, The Wharton School, University of Pennsylvania; Edward George, Wharton, University of Pennsylvania
2:20 PM
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Constrained Regression via Majorization-Minimization
Jason Xu, UCLA; Kenneth Lange, UCLA
2:35 PM
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Heterogeneous Tail Generalized COMFORT Modeling via Cholesky Decomposition
Pawel Polak, Columbia University
2:35 PM
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Removing Absorbing States from Markov Chain Models
Li-Hsuan Huang; Harish S. Bhat, University of California, Merced; Sebastian Rodriguez, Northwestern University
2:50 PM
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Understanding Gene Regulation Through Graph-Based Posterior Regularization in Structured Probabilistic Models
Maxwell Libbrecht, Simon Fraser University
3:05 PM
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Wednesday, 08/01/2018
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Exact Spike Train Inference via $\Ell_0$ Optimization
Daniela Witten, University of Washington; Sean Jewell, University of Washington
8:55 AM
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Folded Concave Penalized Estimation of Conditional Copula Graphical Models with Application to Microbial Networks
Bingyuan Liu, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:05 AM
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Sparse Quadratic Classification Rules via Linear Dimension Reduction
Tianying Wang, Texas A & M University; Irina Gaynanova, Texas A&M Univeristy
10:35 AM
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A Global Convergent Algorithm for Integer Calibration Weighting
Kelly Toppin, National Agricultural Statistics Service; Luca Sartore, National Institute of Statistical Sciences; Clifford Spiegelman, Texas A&M University
11:35 AM
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Predictive Modeling Applied in National Reporter Cleaning
Xuemei Pan; Mary Pritts, IBM; COBY LU, IBM
11:35 AM
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High-Dimensional Markowitz Portfolio Optimization Problem: Empirical Comparison of Covariance Matrix Estimators
Johan Lim, Seoul National University; Young-Geun Choi, Fred Hutchinson Cancer Research Center; Sujung Choi, Soongsil University
2:05 PM
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T-Optimal Design for Multivariate Polynomial Regression Using Semidefinite Programming
Yuguang Yue, The University of Texas At Austin; Weng Kee Wong, UCLA; Lieven Vandenberghe, University of California, Los Angeles
2:05 PM
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Mean Reversion Trading via Penalized Maximum Likelihood Estimation and Optimization
Jize Zhang, University of Washington, Seattle; Aleksandr Aravkin, University of Washington, Seattle; Tim Leung, University of Washington, Seattle
2:25 PM
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Optimization of Decision Trees by Delaying the Split Decision
Kyle Caudle, South Dakota School of Mines and Technology; Larry Pyeatt, South Dakota School of Mines and Technology; Christer Karlsson, South Dakota School of Mines and Technology; Randy Hoover, South Dakota School of Mines and Technology
2:35 PM
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Analytical Likelihood Derivatives for State Space Forecasting Models
Jonathan R. M. Hosking, Amazon; Ramesh Natarajan, Amazon
2:45 PM
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Plotting Two-Dimensional Confidence Regions
Christopher Weld, William & Mary; Lawrence Leemis, William & Mary; Andrew Loh, William & Mary
2:50 PM
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Can We Compute an Optimal Sparse Decision Tree?
Cynthia Rudin, Duke University; Elaine Angelino, Berkeley; Nicholas Larus-Stone, Cambridge; Margo Seltzer, Harvard; Daniel Alabi, Harvard
3:05 PM
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Robust Time Series Using Linked Exponential Smoothing Cells
Aleksandr Aravkin, University of Washington, Seattle; Avner Abrami, IBM TJ Watson Research Center; Younghun Kim, Utopus Insights
3:05 PM
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Thursday, 08/02/2018
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Global Spectral Clustering in Dynamic Networks
David Choi, Carnegie Mellon University; Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
8:35 AM
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Learning Nonconvex Hierarchical Interactions
Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:00 AM
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Augmented Minimax Linear Estimation
Stefan Wager, Stanford University; David Hirshberg, Columbia University
10:35 AM
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Heritability Informed Power Optimization (HIPO) Leads to Enhanced Detection of Genetic Associations Across Multiple Traits
Guanghao Qi, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
10:35 AM
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Ad-Hoc Calibration for Rounding Rules with Nonlinear Benchmarks
Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University
10:35 AM
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Automation of Multiprocessor Optimization in SAFAL
Babubhai Shah, SAFAL Institute Inc.
12:05 PM
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