3 papers
stat.ML2025
On Conditional Stochastic Interpolation for Generative Nonlinear Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu, Jian Huang
Identifying low-dimensional sufficient structures in nonlinear sufficient dimension reduction (SDR) has long been a fundamental yet challenging problem. Most existing methods lack…
stat.ML2025
Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift
Shuntuo Xu, Zhou Yu, Jian Huang
The density ratio is an important metric for evaluating the relative likelihood of two probability distributions, with extensive applications in statistics and machine learning. Ho…
cs.LG2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu, Lifan Lin, Jian Huang +1
Semi-supervised learning (SSL) offers a robust framework for harnessing the potential of unannotated data. Traditionally, SSL mandates that all classes possess labeled instances. H…