Causal Effect Inference with Deep Latent-Variable Models

Christos Louizos, Uri Shalit, Joris M. Mooij, David Sontag, Richard Zemel, Max Welling

Oct-3-2024, 22:51:44 GMT–Neural Information Processing Systems

Neural Information Processing Systems http://nips.cc/

artificial intelligence, confounder, machine learning, (16 more...)

Neural Information Processing Systems

Oct-3-2024, 22:51:44 GMT

Conferences PDF

Country:
- Asia
  - China > Beijing
    - Beijing (0.04)
  - India (0.04)
- Europe
  - Netherlands > North Holland
    - Amsterdam (0.04)
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.04)
- North America
  - Canada > Ontario
    - Toronto (0.28)
  - Greenland (0.05)
  - United States
    - California
      - Los Angeles County > Long Beach (0.04)
      - San Diego County > San Diego (0.04)
    - Massachusetts > Middlesex County
      - Cambridge (0.04)
    - New York > Montgomery County
      - Amsterdam (0.04)

Genre:
- Research Report > Experimental Study (0.94)

Industry:
- Health & Medicine > Therapeutic Area (1.00)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models (1.00)
    - Neural Networks (1.00)
    - Statistical Learning (1.00)
  - Representation & Reasoning (1.00)

Duplicate Docs Excel Report

Title
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models

Similar Docs Excel Report more

Title	Similarity	Source
None found