29 citations · 49 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 1 cited
Federated Empirical Risk Minimization via Second-Order Method
Song Bian, Zhao Song, Junze Yin
Many convex optimization problems with important applications in machine learning are formulated as empirical risk minimization (ERM). There are several examples: linear and logist…
cs.LG2023
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
Song Bian, Xiating Ouyang, Zhiwei Fan +1
We study the certifiable robustness of ML classifiers on dirty datasets that could contain missing values. A test point is certifiably robust for an ML classifier if the classifier…
cs.LG2023★ 2 cited
Does compressing activations help model parallel training?
Song Bian, Dacheng Li, Hongyi Wang +2
Large-scale Transformer models are known for their exceptional performance in a range of tasks, but training them can be difficult due to the requirement for communication-intensiv…