Develops randomized-subspace Nesterov accelerated gradient methods with accelerated oracle-complexity guarantees for smooth convex optimization under matrix smoothness and sketch moment assumptions.
Scalable subspace methods for derivative-free nonlinear least-squares optimization.Mathematical Programming, 199(1–2):461–524, 2023
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Randomized Subspace Nesterov Accelerated Gradient
Develops randomized-subspace Nesterov accelerated gradient methods with accelerated oracle-complexity guarantees for smooth convex optimization under matrix smoothness and sketch moment assumptions.