The Power of Optimization from Samples
Eric Balkanski, Aviad Rubinstein, Yaron Singer
–Neural Information Processing Systems
We consider the problem of optimization from samples of monotone submodular functions with bounded curvature. In numerous applications, the function optimized is not known a priori, but instead learned from data. What are the guarantees we have when optimizing functions from sampled data?
Neural Information Processing Systems
Jan-20-2025, 19:59:24 GMT
- Country:
- Europe > Spain (0.14)
- North America > United States
- California (0.14)
- Genre:
- Research Report (0.46)
- Technology: