Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
–Neural Information Processing Systems
We consider a composite convex optimization problem associated with regularized empirical risk minimization, which often arises in machine learning.
Neural Information Processing Systems
Nov-21-2025, 11:12:09 GMT
- Country:
- Asia > Japan
- Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.15)
- North America > United States
- California > Los Angeles County
- Long Beach (0.04)
- Washington > King County
- Seattle (0.04)
- California > Los Angeles County
- Asia > Japan
- Technology: