Derandomizing Multi-Distribution Learning
–Neural Information Processing Systems
Multi-distribution or collaborative learning involves learning a single predictor that works well across multiple data distributions, using samples from each during training.
Neural Information Processing Systems
Feb-17-2026, 08:35:05 GMT
- Country:
- Africa > Ethiopia
- Addis Ababa > Addis Ababa (0.04)
- Asia
- Afghanistan > Parwan Province
- Charikar (0.04)
- India > Karnataka
- Bengaluru (0.04)
- Middle East > Jordan (0.04)
- Afghanistan > Parwan Province
- Europe
- Denmark (0.04)
- Russia > Central Federal District
- Moscow Oblast > Moscow (0.04)
- North America
- Canada > Quebec
- Montreal (0.04)
- United States
- California
- Alameda County > Berkeley (0.04)
- Los Angeles County > Long Beach (0.14)
- San Francisco County > San Francisco (0.14)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Maryland > Baltimore (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- California
- Canada > Quebec
- Africa > Ethiopia
- Genre:
- Research Report > Experimental Study (1.00)
- Technology: