A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models

Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity

Do Large Language Models Need Statistical Foundations?

Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population

New Evidence for the Predictive Role of Covariate Shift in Treatment Effect Generalization

Distributionally robust risk evaluation with an isotonic constraint

A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting

Calibrating Large Language Models to Achieve Tail Risk Control

Model-free high-dimensional knockoff inference with privacy constraints

Data-Utilization at the Core: A Unified Conformalized Multiple Testing Framework

Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning

Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation

Inference under Treatment Misclassification in Real-World COVID-19 Vaccine Effectiveness Studies

Antithetic Noise in Diffusion Models