Causal Structure Learning from Event Sequences and Prior Knowledge
Zhang Keli ⋅ Ruichu Cai ⋅ Kun Kuang ⋅ Lujia Pan ⋅ Ye Jian ⋅ Jiale Zheng ⋅ Mengyue Yang ⋅ Marcus Kalander ⋅ Dai Quanyu ⋅ Liu Yuequn
2023 Competition
Abstract
In this competition, we are focusing on a fundamental causal challenge: participantsare asked to learn the causal alarm graphs in which every node is an alarm typefrom observable historical alarm data together with limited prior knowledge. Thechallenge originates from a real-world root cause analysis (RCA) scenario intelecommunication networks. By addressing this challenge, participants will notonly help operators trouble-shooting efficiently, but also advance the field of causaldiscovery, and contribute to our understanding of complex systems.
Video
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Schedule
Timezone: America/Los_Angeles
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6:30 AM
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8:15 AM
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10:00 AM
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