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• Size of Interventional Markov Equivalence Classes in Random DAG Models
  2019
• A Multi-Channel Neural Graphical Event Model with Negative Evidence
  2020
• Active Structure Learning of Causal DAGs via Directed Clique Tree
  2020
• Scalable Intervention Target Estimation in Linear Models
  2021
• Auto-Transfer: Learning to Route Transferrable Representations
  2022
• Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data
  2022
• Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
  2023