Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems

Robert Ness, Kaushal Paneri, Olga Vitek

Nov-16-2025, 01:17:01 GMT–Neural Information Processing Systems

An important aspect of studying these systems is predicting the equilibrium behavior of the system upon an intervention, and selecting high-value interventions.

artificial intelligence, machine learning, markov process model, (16 more...)

Neural Information Processing Systems

Nov-16-2025, 01:17:01 GMT

Conferences PDF

Country:
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America > Canada (0.04)

Industry:
- Health & Medicine > Pharmaceuticals & Biotechnology (0.93)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.56)
    - Neural Networks (0.46)
  - Representation & Reasoning > Mathematical & Statistical Methods (0.47)

Duplicate Docs Excel Report

Title
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems

Similar Docs Excel Report more

Title	Similarity	Source
None found