The KDD 2022 Workshop on Causal Discovery (CD2022)
Thuc Duy Le, Lin Liu, Emre Kıcıman, Sofia Triantafyllou, Huan Liu · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2022
Causal relationships have been utilized in almost all disciplines, and the research into causal discovery has attracted a lot of attention in the last few years. Traditionally, causal relationships are identified by making use of interventions or randomized controlled experiments. However, conducting such experiments is often expensive or even impossible due to cost or ethical concerns. Therefore, there has been an increasing interest in discovering causal relationships based on observational data, and in the past few decades, significant contributions have been made to this field by computer scientists.