9 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
Causal inference using deep neural networks
Ye Yuan, Xueying Ding, Ziv Bar-Joseph
Causal inference from observation data is a core problem in many scientific fields. Here we present a general supervised deep learning framework that infers causal interactions by…
cs.LG2020★ 9 cited
SUOD: Toward Scalable Unsupervised Outlier Detection
Yue Zhao, Xueying Ding, Jianing Yang +1
Outlier detection is a key field of machine learning for identifying abnormal data objects. Due to the high expense of acquiring ground truth, unsupervised models are often chosen…
cs.LG2019
Combining Machine Learning Models using combo Library
Yue Zhao, Xuejian Wang, Cheng Cheng +1
Model combination, often regarded as a key sub-field of ensemble learning, has been widely used in both academic research and industry applications. To facilitate this process, we…