JSM
2026
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Invited Paper Session
☆
AI-Driven Statistical Methods for Knowledge Inference and Reliable AI
Tue, Aug 4
, 2:00 PM - 3:50 PM
Room CC-258C
Thomas M. Menino Convention & Exhibition Center
Weijie Su
Organizer
Weijie Su
Chair
Section on Nonparametric Statistics
co: IMS
co: Section on Statistical Learning and Data Science
Applied
4 Presentations
An AI-powered Bayesian Generative Modeling Approach for Statistical Inference
2:05 PM - 2:30 PM
Qiao Liu
(Yale University)
Uncertainty qualification
Data imputation
Markov chain Monte Carlo
Bayesian deep learning
Treatment effect
Bayesian Concept Bottleneck Models with LLM Priors
2:30 PM - 2:55 PM
Jean Feng
(University of California, San Francisco)
Evaluating the Unseen Capabilities: How Much Do LLMs Actually Know?
2:55 PM - 3:20 PM
Xiang Li
Co-authors:
Jiayi Xin
(University of Pennsylvania)
,
Qi Long
,
Weijie Su
(University of Pennsylvania)
Large Language Models
LLM Evaluation
Unseen Knowledge
Smoothed Good–Turing Estimator
What LLM Log Probabilities Reveal: From Statistical Decisions to Concept Formation
3:20 PM - 3:45 PM
Zhengmian Hu
(Adobe Inc.)
Token‑level log‑probabilities
Large Language Model (LLM)
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