“A Graphical Multi-Fidelity Gaussian Process Model, With Application to Emulation of Expensive Computer Simulations,” presented by Simon Mak, Assistant Professor, Department of Statistical Science, Duke University

“A Deep Generative Approach to Learning a Conditional Distribution,” presented by Jian Huang, Professor, Department of Statistics and Actuarial Science, Department of Biostatistics, University of Iowa

New Directions in Bayesian Shrinkage for Sparse, Structured Data,” presented by Jyotishka Datta, Assistant Professor, Department of Statistics, Virginia Tech

“Fast Approximate BayesBag Model Selection via Taylor Expansions,” presented by Neil Spencer, Postdoctoral Researcher, Department of Biostatistics, Harvard School of Public Health

“Complex Structure Discovery and Randomized Field Experiments on Large-Scale Social and Political Networks,” presented by Aaron Schein, Postdoctoral Fellow, Data Science Institute, Columbia University

“Survival Analysis via Ordinary Differential Equations,”
presented by Weijing Tang, Ph.D. Candidate, Department Of Statistics, University Of Michigan

“Sequential Decision Making: Nonconvexity and Nonstationarity,” presented by Joshua Loyal, Ph.D. Candidate, Department Of Statistics, University Of Illinois At Urbana-Champaign.

“Sequential Decision Making: Nonconvexity and Nonstationarity,” presented by Abhishek Roy, University of California, Davis.