Transfer Learning for Latent Variable Network Models
–Neural Information Processing Systems
We study transfer learning for estimation in latent variable network models.
Neural Information Processing Systems
Nov-19-2025, 21:13:50 GMT
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- Asia
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- India > West Bengal
- Kolkata (0.04)
- Middle East > Jordan (0.04)
- Europe
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- Dordrecht (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Netherlands > South Holland
- North America > United States
- California
- San Diego County > San Diego (0.04)
- Santa Clara County > Palo Alto (0.04)
- Wisconsin > Dane County
- Madison (0.04)
- California
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Government (0.92)
- Health & Medicine
- Pharmaceuticals & Biotechnology (0.46)
- Therapeutic Area (0.46)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Learning Graphical Models > Directed Networks
- Bayesian Learning (0.45)
- Neural Networks > Deep Learning (0.46)
- Statistical Learning (0.67)
- Transfer Learning (0.71)
- Learning Graphical Models > Directed Networks
- Natural Language (1.00)
- Representation & Reasoning (1.00)
- Vision (1.00)
- Machine Learning
- Communications > Networks (1.00)
- Data Science (1.00)
- Information Management (1.00)
- Artificial Intelligence
- Information Technology