research
∙
06/07/2023
Subnetwork Estimation for Spatial Autoregressive Models in Large-scale Networks
Large-scale networks are commonly encountered in practice (e.g., Faceboo...
share
research
∙
04/13/2023
Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator
We study here a fixed mini-batch gradient decent (FMGD) algorithm to sol...
research
∙
04/13/2023
Improved Naive Bayes with Mislabeled Data
Labeling mistakes are frequently encountered in real-world applications....
research
∙
04/12/2023
Testing Sufficiency for Transfer Learning
Modern statistical analysis often encounters high dimensional models but...
research
∙
03/14/2023
Diversity-Aware Meta Visual Prompting
We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient ...
research
∙
02/06/2023
Network Autoregression for Incomplete Matrix-Valued Time Series
We study the dynamics of matrix-valued time series with observed network...
research
∙
11/04/2022
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss
Deep learning methods have contributed substantially to the rapid advanc...
research
∙
10/19/2022
Knowledge Graph Enhanced Relation Extraction Datasets
Knowledge-enhanced methods that take advantage of auxiliary knowledge gr...
research
∙
11/21/2021
Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora
Topic evolution modeling has received significant attentions in recent d...
research
∙
04/06/2020
Efficient Estimation for Generalized Linear Models on a Distributed System with Nonrandomly Distributed Data
Distributed systems have been widely used in practice to accomplish data...
research
∙
10/24/2019
