83 citations · 265 across the 27 of their papers we have counts for
7 papers · 1 filter
Towards Robust Relational Causal Discovery
Sanghack Lee, Vasant Honavar
We consider the problem of learning causal relationships from relational data. Existing approaches rely on queries to a relational conditional independence (RCI) oracle to establis…
Algorithmic Bias in Recidivism Prediction: A Causal Perspective
Aria Khademi, Vasant Honavar
ProPublica's analysis of recidivism predictions produced by Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) software tool for the task, has shown that…
LMLFM: Longitudinal Multi-Level Factorization Machine
Junjie Liang, Dongkuan Xu, Yiwei Sun +1
We consider the problem of learning predictive models from longitudinal data, consisting of irregularly repeated, sparse observations from a set of individuals over time. Such data…
Node Injection Attacks on Graphs via Reinforcement Learning
Yiwei Sun, Suhang Wang, Xianfeng Tang +2
Real-world graph applications, such as advertisements and product recommendations make profits based on accurately classify the label of the nodes. However, in such scenarios, ther…
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh +2
Data from many real-world applications can be naturally represented by multi-view networks where the different views encode different types of relationships (e.g., friendship, shar…
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
Aria Khademi, Sanghack Lee, David Foley +1
As virtually all aspects of our lives are increasingly impacted by algorithmic decision making systems, it is incumbent upon us as a society to ensure such systems do not become in…