Under a new smoothness assumption linking local curvature to the loss gap, increasing learning rates provably accelerate GD and SGD convergence, with up to Theta(T) speedup in special cases.
Duchi, Dylan J
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Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence
Under a new smoothness assumption linking local curvature to the loss gap, increasing learning rates provably accelerate GD and SGD convergence, with up to Theta(T) speedup in special cases.