Invited Sessions:

Organizer: Tirthankar Dasgupta, Rutgers University

Moderator: Evan Rosenman 

Time and venue: May 15th, 8:30 a.m. – 10:00 a.m., DDS 130

Speakers: 

• Kyle Schindl, Carnegie Mellon University: A Unified Framework for Rerandomization using Quadratic Forms. Slides

• Nicole Pashley, Rutgers University: Improving Instrumental Variable Estimators with Post-stratification. Slides

• Lulu Kang, UMASS-Amherst: Kernel Discrepancy-Based Rerandomization for Controlled Experiments

Organizer: Jonathan Stallrich, NC State University

Moderator: Xinwei Deng, Virginia Tech 

Time and venue: May 15th, 10:30 a.m. – 12:00 p.m., DDS 130

Speakers: 

• Ying Jin, Stanford University: Towards Optimal Variance Reduction in Online Controlled Experiments. Slides

• Sol Sadeghi, Netflix: Novelty and Primacy: A Long-Term Estimator for Online Experiments. Slides

• Jonathan Stallrich, NC State University: A/B tests with Unobserved Network Spillover: Design and Inference. Slides

• Qiong Zhang, Clemson University: Collaborative Analysis for Paired A/B Tests

Organizer and Moderator: Hongquan Xu, UCLA

Time and venue: May 15th, 1:00 p.m. – 2:30 p.m., DDS 130

Speakers: 

• Jing-Wen Huang, National Tsing Hua University: Models for Order-of-addition Screening Experiments

• Qian Xiao, University of Georgia: Construction of Orthogonal-MaxPro Latin Hypercube Designs. Slides

• Dennis Lin, Purdue University: Small Mixed-Level Screening Designs

Organizer and Moderator: Ming-Chung Chang, Academia Sinica

Time and venue: May 15th, 3:30 p.m. – 5:00 p.m., DDS 130

Speakers: 

• Cheng-Yu Sun, National Tsing Hua University: Space-filling Regular Designs under a Minimum Aberration-type Criterion. Slides

• Chenlu Shi, Colorado State University: On Construction of Nonregular Two-Level Factorial Designs with Maximum Generalized Resolutions. Slides

• John Stufken, George Mason University: Thoughts on Supersaturated Designs for Factor Screening Experiments

Organizer and Moderator: Boxin Tang, Simon Fraser University

Time and venue: May 16th, 8:30 a.m. – 10:00 a.m., DDS 130

Speakers: 

• Lin Wang, Purdue University: Active Sampling for High-dimensional Ridge Estimator with Application in Genome-wide Association Studies. Slides

• Devon Lin, Queen's University: Grouped Orthogonal Arrays

• Bobby Mee, University of Tennessee: Choosing Strength-Two Orthogonal Arrays that are Less Susceptible to Bias. Slides

Organizer: Ryan Lekivetz, JMP

Moderator: Caleb King, JMP

Time and venue: May 16th, 10:30 a.m. – 12:00 p.m., DDS 130

Speakers: 

• Irene Ji, Duke University: BayesFLo - Bayesian Fault Localization for Software Testing. Slides

• Laura Freeman, Virginia Tech: Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. Slides

• Rakhi Singh, SUNY Binghamton: Design-based Hyperparameter Optimization for Machine Learning Models. Slides

• Frederick Kin Hing Phoa, Academia Sinica: Design and Analysis of Repeated-Tuple Testing Experiments. Slides

Organizer and Moderator: Feng Guo, Virginia Tech

Time and venue: May 16th, 1:00 p.m. – 2:30 p.m., DDS 130

Speakers: 

• Chen Qian, Virginia Tech: Kernel Method Based Case Sampling for Safety Verification on Cyber-Physical System

• Danni Lu, Uber: Leveraging Statistical Experiment Designs in the Ride Share Industry: Applications in Road Safety Products. Slides

• Ruoxuan Xiong, Emory University: Data-Driven Switchback Designs: Theoretical Tradeoffs and Empirical Calibration. Slides

Organizer and Moderator: Robert Gramacy, Virginia Tech

Time and venue: May 16th, 3:30 p.m. – 5:00 p.m., DDS 130

Speakers: 

• Annie Booth, NC State University: Deep Gaussian Process Surrogates for Contour Location and Reliability Analysis

• Ozge Surer, Miami University (OH): Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models

• Mickael Binois, INRIA: Scalable Bayesian Optimization for Noisy Problems

Organizer and Moderator: Abhyuday Mandal, University of Georgia

Time and venue: May 17th, 8:30 a.m. – 10:00 a.m., DDS 130

Speakers: 

• Kade Young, Eli Lilly: A Supersaturated Screening Design Framework Based on Lasso Support Recovery. Slides

• Wei Zheng, University of Tennessee: Approximating Shapley Values by Fractional Factorial Designs. Slides

• Weng K. Wong, UCLA: Nature-inspired Metaheuristics for Designing Innovative Drug Studies

Organizer and Moderator: Qiong Zhang, Clemson University

Time and venue: May 17th, 10:30 a.m. – 12:00 p.m., DDS 130

Speakers: 

• Nathan Wycoff, Georgetown University: Voronoi Candidates for Bayesian Optimization. Slides

• Simon Mak, Duke University: Diverse Expected Improvement (DEI):Diverse optimization of expensive black-box simulators. Slides

• HaiYing Wang, UConn: Subsampling for Big Rare Events Data Beyond Binary Responses. Slides

• Peter Frazier, Cornell U: Bayesian Optimization with Human Feedback. Slides

Time and venue: May 17th, 12:00 p.m. – 1:00 p.m. DDS Atrium

Title: A Brief History of the Virginia Tech Department of Statistics

Speaker: Bill Woodall

Abstract: This interesting, and hopefully entertaining, overview of the departmental history is focused to a large extent on past faculty members and students who have had major impacts on the design and analysis of experiments.