2 papers
stat.ML2026
Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement
Hao Chen, Lin Liu, Yu Guang Wang
Causal representation learning (CRL) has garnered increasing interest from the causal inference and artificial intelligence communities due to its potential to disentangle complex…
stat.ML2026
Score-matching-based Structure Learning for Temporal Data on Networks
Hao Chen, Kai Yi
Causal discovery is a crucial initial step in establishing causality from empirical data and background knowledge. Numerous algorithms have been developed for this purpose. Among t…