Cart
Create Account
Sign In
Already purchased this program?
Login to View
This video program is a part of the Premium package:
Balancing Rates And Variance Via Adaptive Batch-Sizes In First-Order Stochastic Optimization
- IEEE MemberUS $11.00
- Society MemberUS $0.00
- IEEE Student MemberUS $11.00
- Non-IEEE MemberUS $15.00
Balancing Rates And Variance Via Adaptive Batch-Sizes In First-Order Stochastic Optimization
Stochastic gradient descent is a canonical tool for addressing stochastic optimization problems, and forms the bedrock of modern machine learning and statistics. In this work, we seek to balance the fact that attenuating step-sizes is required for exact a
Stochastic gradient descent is a canonical tool for addressing stochastic optimization problems, and forms the bedrock of modern machine learning and statistics. In this work, we seek to balance the fact that attenuating step-sizes is required for exact a
