“Distribution-Free Nonparametric Inference Based on Optimal Transport: Efficiency Lower Bounds and Rank-Kernel Tests,” presented by Bhaswar B. Bhattacharya, Assistant Professor, Wharton Statistics Department, University of Pennsylvania

“Computationally Efficient Bayesian Unit-Level Modeling of Non-Gaussian Survey Data under Informative Sampling,” presented by Paul A. Parker, Assistant Professor, Department of Statistics, University of California Santa Cruz

“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