Inference-Time Alignment for Diffusion Models via Variationally Stable Doob’s Matching

Heavy-tailed Information-Theoretic Generalization Bounds with Applications to LLM Safety Alignment

Symmetry in Deep Neural Networks and Implications to Learning

A novel statistical approach to analyze image classification

TBD

Doubly Robust Estimators for Heterogeneous Treatment Effects in Heteroskedastic Survival Data and Application

Distributed Censored Quantile Regression: Convolution Smoothing and Communication Efficiency

Dynamic-Centime：一种利用纵向数据预测剩余生存时间的动态预测模型

模拟学习方法论：理论、算法及应用

Strongly consistent community detection in popularity adjusted block models

Optimal Mixture-of-Experts Model Averaging for Conditional Generative Learning

Controlling the False Discovery Rate in High-Dimensional Linear Models Using Model-X Knockoffs and p-values