A family of Nesterov-type methods with power-law momentum achieves controllable O(1/k^{2α}) convergence for strongly convex objectives at the critical step size, including monotone and proximal variants.
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A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
A family of Nesterov-type methods with power-law momentum achieves controllable O(1/k^{2α}) convergence for strongly convex objectives at the critical step size, including monotone and proximal variants.