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Topic-Contributed Paper Session

SLDS Student Paper Awards

Tue, Aug 5, 2:00 PM - 3:50 PM Room CC-104D Music City Center

Yang FengOrganizerXiaoming HuoOrganizerXiaoming HuoChair

Section on Statistical Learning and Data Science co: No Additional Sponsorco: No Additional Sponsor Applied

5 Presentations

Assumption-Lean Inference for Spectral Differential Network Analysis of High-Dimensional Time Series

2:05 PM - 2:25 PM

Michael Hellstern

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

2:25 PM - 2:45 PM

Ye Tian (Columbia University, Department of Statistics)

Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data

2:45 PM - 3:05 PM

Jingyi Duan (Cornell University)

Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions

3:05 PM - 3:25 PM

Optimal Transport Poincaré Inequality

Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns?

3:25 PM - 3:45 PM

Co-authors: Hyunseung Kang (University of Wisconsin-Madison), Jiwei Zhao (University of Wisconsin-Madison)

Causal inference Sensitivity analysis Generalizability Transportability Exponential tilting

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