We received 90 eligible submissions. After two rounds of review scoring, the following six were picked as winners (in alphabetical order):
|
Last
|
First
|
University
|
Paper Title
|
|
Ding
|
Yizhe
|
The Pennsylvania State University
|
Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions
|
|
Duan
|
Jingyi
|
Cornell University
|
Active Subsampling for Measurement-constrained M-Estimation of Individualized Thresholds with High-dimensional Data
|
|
Hellstern
|
Michael
|
University of Washington
|
Assumption-Lean Inference for Spectral Differential Network Analysis of High-Dimensional Time Series
|
|
Lee
|
Seunghyun
|
Columbia University
|
Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
|
|
Tian
|
Ye
|
Columbia University
|
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
|
|
Miao
|
Xinran
|
University of Wisconsin - Madison
|
Transfer Learning Between U.S. Presidential Elections: How Should We Learn from A 2020 Ad Campaign To Inform 2024 Ad Campaigns?
|
The last entry is on the Applied track.
We also picked the following two as honorable mentions.
|
Lee
|
Seong Jin
|
University of North Carolina at Chapel Hill
|
Low-Rank Online Dynamic Assortment with Dual Contextual Information
|
|
Liu
|
Pangpang
|
Purdue University
|
Dual Active Learning for Reinforcement Learning from Human Feedback
|
Congratulations to all the above!
The six winners have been invited to present their work in a 2025 JSM topic-contributed paper session titled "SLDS Student Paper Awards" (0718).
SLDS 2025 Student Paper Competition Co-chairs: Yang Feng (yf31@nyu.edu) and Xiaoming Huo (huo@isye.gatech.edu)
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Xiaoming Huo
Professor
Georgia Institute of Technology, School of Industrial & Systems Engineering
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