Minimizing a Submodular Function from Samples
–Neural Information Processing Systems
Submodular functions can be efficiently minimized and are consequently heavily applied in machine learning. There are many cases, however, in which we do not know the function we aim to optimize, but rather have access to training data that is used to learn it.
Neural Information Processing Systems
Nov-21-2025, 12:52:12 GMT
- Country:
- North America > United States
- Nevada (0.04)
- California > Los Angeles County
- Long Beach (0.04)
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- France > Hauts-de-France
- United Kingdom > England
- Asia > Middle East
- Republic of Türkiye > Istanbul Province > Istanbul (0.04)
- North America > United States
- Technology: