6 citations · 20 across the 14 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 3 cited
Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation
Sha Lu, Lin Liu, Kui Yu +3
Anomaly detection is crucial for understanding unusual behaviors in data, as anomalies offer valuable insights. This paper introduces Dependency-based Anomaly Detection (DepAD), a…
cs.LG2020
Assessing Classifier Fairness with Collider Bias
Zhenlong Xu, Ziqi Xu, Jixue Liu +5
The increasing application of machine learning techniques in everyday decision-making processes has brought concerns about the fairness of algorithmic decision-making. This paper c…
stat.ME2020★ 1 cited
Towards unique and unbiased causal effect estimation from data with hidden variables
Debo Cheng, Jiuyong Li, Lin Liu +3
Causal effect estimation from observational data is a crucial but challenging task. Currently, only a limited number of data-driven causal effect estimation methods are available.…