Limit Theorems for Network Data without Metric Structure

Time-Varying Factor-Augmented Forecasting Regressions with Nonstationarity

Generalized Tensor Completion with Non-Random Missingness

Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data

SpecTr-GBV: Multi-Draft Block Verification Accelerating Speculative Decoding

Large Scale Time Series Modeling and Forecasting by Neural Networks

Multiple Instance Learning for Multi-Label Data

LUMEN: A Large-Language-Model Guided Unified Multimodal Framework for Robust Prediction of Pulmonary Dysfunction