9 citations · 11 across the 5 of their papers we have counts for
5 papers
Testing Equality of Conditional Distributions via Generative Models
Hanjia Gao, Linjun Huang, Yun Yang +1
We study the problem of testing whether two conditional distributions are equal using generative models. The proposed method learns a conditional generator from each sample and use…
Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
Hanjia Gao, Hanwen Ye, Qing Nie +1
Dynamic topic modeling is widely used to analyze evolving trends in scientific literature, medical records, and social media. Traditional topic models represent each topic through…
Dimension-agnostic Change Point Detection
Hanjia Gao, Runmin Wang, Xiaofeng Shao
Change point testing for high-dimensional data has attracted a lot of attention in statistics and machine learning owing to the emergence of high-dimensional data with structural b…
Testing Serial Independence of Object-Valued Time Series
Feiyu Jiang, Hanjia Gao, Xiaofeng Shao
We propose a novel method for testing serial independence of object-valued time series in metric spaces, which is more general than Euclidean or Hilbert spaces. The proposed method…
Two Sample Testing in High Dimension via Maximum Mean Discrepancy
Hanjia Gao, Xiaofeng Shao
Maximum Mean Discrepancy (MMD) has been widely used in the areas of machine learning and statistics to quantify the distance between two distributions in the -dimensional Euclid…