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cs.LG2026
Robust Time Series Causal Discovery for Agent-Based Model Validation
Gene Yu, Ce Guo, Wayne Luk
Agent-Based Model (ABM) validation is crucial as it helps ensuring the reliability of simulations, and causal discovery has become a powerful tool in this context. However, current…
cs.LG2025
Scalable Time-Series Causal Discovery with Approximate Causal Ordering
Ziyang Jiao, Ce Guo, Wayne Luk
Causal discovery in time-series data presents a significant computational challenge. Standard algorithms are often prohibitively expensive for datasets with many variables or sampl…