2 papers
cs.LG2025
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
Yuchen Hu, Xi Chen, Weidong Liu +1
Distributed stochastic optimization algorithms can simultaneously process large-scale datasets, significantly accelerating model training. However, their effectiveness is often hin…
stat.ME2024
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
Xiaojun Mao, Hengfang Wang, Zhonglei Wang +1
Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe ma…