We are delighted to inform you that the results of the 2023 SLDS student paper competition have been announced. Out of the 89 submissions received, the award committee has selected five winning papers and two honorable mentions. The five winning papers will be presented at the 2023 Joint Statistical Meetings in a special topic-contributed session titled "SLDS Student Paper Awards". We highly recommend JSM attendees to mark this session in their program as it promises to be an interesting one.
Student Paper Winners (in alphabetical order)
University of Wisconsin-Madison
Statistical and computational rates in high rank tensor estimation
Carnegie Mellon University
Robust Universal Inference
Fast Distributed Principal Component Analysis with High Accuracy for Large-Scale Federated Data
North Carolina State University
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning
University of Michigan
Estimation and Inference for High-dimensional Expected Shortfall Regression
University of Washington
Statistical and Computational Guarantees for Influence Diagnostics
Debiased inference for a covariate-adjusted regression function
We extend our heartfelt gratitude to the award committee members for their dedicated time, effort and judgment in the selection process. Without their generous contribution during the holiday season, it would not have been possible to process such a large number of submissions.
For questions, please contact the SLDS 2023 Student Paper Award Co-chairs, Xingye Qiao (email@example.com) and Kean Ming Tan (firstname.lastname@example.org).