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cs.LG2026
Learning Temporal Causal Structure via Smooth Differentiable Optimization
Tong Zhao, Ce Guo, Wayne Luk +2
Causal discovery with instantaneous effects in multivariate time series is challenging, as the instantaneous structure must be acyclic. Prior methods enforce this by either separat…
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…