2 papers
stat.ML2025
Stochastic Gradients under Nuisances
Facheng Yu, Ronak Mehta, Alex Luedtke +1
Stochastic gradient optimization is the dominant learning paradigm for a variety of scenarios, from classical supervised learning to modern self-supervised learning. We consider st…
stat.ME2024
Semi-supervised inference using unlabeled summary statistics
Facheng Yu, Zhen Qi, Yuqian Zhang
Semi-supervised inference assumes access to a labeled dataset together with a large unlabeled dataset in which the outcome variable is missing, and it is widely used to improve sta…