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Invited Paper Session

Statistical Frontiers in the AI Era: Assumption-Lean Methods for High-Dimensional and Dynamic Data

Wed, Aug 5, 8:30 AM - 10:20 AM Room CC-107C Thomas M. Menino Convention & Exhibition Center

Chunming ZhangOrganizerChunming ZhangChair

Section on Nonparametric Statistics co: Section on Statistical Learning and Data Scienceco: International Statistical Institute Applied

5 Presentations

Accelerating Ptychographic Reconstruction via Multimodal Data Analysis

9:55 AM - 10:15 AM

Zichao Wendy Di

inverse problem phase retrieval composite optimization

Prediction-Powered Adaptive Shrinkage Estimation

9:35 AM - 9:55 AM

Nikolaos Ignatiadis (University of Chicago)

Empirical Bayes James-Stein

8:55 AM - 9:15 AM

Co-authors: Zichao Wendy Di

Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes

9:15 AM - 9:35 AM

Liyan Xie (University of Minnesota)

Change-point detection Score matching Sequential analysis Point process Spatio-temporal data

Uncertainty Quantification for Foundation Models under Data and Compute Constraints

8:35 AM - 8:55 AM

Maja Waldron (University of Wisconsin-Madison)

Large Language Models One-Shot Prediction Uncertainty Quantification Conformal Prediction Valid Coverage Non-Exchangeable Scores

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