25 citations · 111 across the 17 of their papers we have counts for
11 papers · 1 filter
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
Zineb Senane, Axel Karlsson, Lele Cao +6
Existing evaluations of tabular synthesis models rely primarily on low-order statistics and downstream task performance, leaving multivariate causal relationships that go beyond pa…
Optimal transport for causal discovery
Ruibo Tu, Kun Zhang, Hedvig Kjellström +1
To determine causal relationships between two variables, approaches based on Functional Causal Models (FCMs) have been proposed by properly restricting model classes; however, the…
How Do Fair Decisions Fare in Long-term Qualification?
Xueru Zhang, Ruibo Tu, Yang Liu +4
Although many fairness criteria have been proposed for decision making, their long-term impact on the well-being of a population remains unclear. In this work, we study the dynamic…
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
Ruibo Tu, Kun Zhang, Bo Christer Bertilson +2
Discovery of causal relations from observational data is essential for many disciplines of science and real-world applications. However, unlike other machine learning algorithms, w…
Causal Discovery in the Presence of Missing Data
Ruibo Tu, Kun Zhang, Paul Ackermann +4
Missing data are ubiquitous in many domains including healthcare. When these data entries are not missing completely at random, the (conditional) independence relations in the obse…
Causality Refined Diagnostic Prediction
Marcus Klasson, Kun Zhang, Bo C. Bertilson +2
Applying machine learning in the health care domain has shown promising results in recent years. Interpretable outputs from learning algorithms are desirable for decision making by…