3 papers
stat.ML2025
Distributionally Robust Online Markov Game with Linear Function Approximation
Zewu Zheng, Yuanyuan Lin
The sim-to-real gap, where agents trained in a simulator face significant performance degradation during testing, is a fundamental challenge in reinforcement learning. Extansive wo…
stat.ML2024
Adaptive debiased SGD in high-dimensional GLMs with streaming data
Ruijian Han, Lan Luo, Yuanhang Luo +2
Online statistical inference facilitates real-time analysis of sequentially collected data, making it different from traditional methods that rely on static datasets. This paper in…
stat.ML2024
Efficient semi-supervised inference for logistic regression under case-control studies
Zhuojun Quan, Yuanyuan Lin, Kani Chen +1
Semi-supervised learning has received increasingly attention in statistics and machine learning. In semi-supervised learning settings, a labeled data set with both outcomes and cov…