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Invited Paper Session

The Annals of Applied Statistics Invited Session

Sun, Aug 2, 2:00 PM - 3:50 PM Room CC-210B Thomas M. Menino Convention & Exhibition Center

Lexin LiChairLexin LiOrganizer

IMS co: No Additional Sponsorco: No Additional Sponsor Applied

4 Presentations

A Bayesian Reinforcement Learning Framework for Optimizing the BCI-utility of P300 Brain-Computer Interfaces

2:55 PM - 3:20 PM

Jian Kang (University of Michigan)

Model-based reinforcement learning Brain-computer interface Dynamic stimulus pattern Early stopping Gaussian process

Augmented doubly robust post-imputation inference for proteomic data

3:20 PM - 3:45 PM

double robustness post-imputation inference Proteomic data variational autoencoder

Do Large Language Models (Really) Need Statistical Foundations?

2:05 PM - 2:30 PM

Weijie Su (University of Pennsylvania)

Supervised Fusion Learning of Physical Activity Features: Functional Frameworks and Longitudinal Analysis with L0 Regularization

2:30 PM - 2:55 PM

Margaret Banker (University of Michigan)

Co-authors: Peter Song (University of Michigan), Leyao Zhang

Actigraphy Change-point detection Mixed Integer Optimization Functional regression

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