Provable Acceleration of Nesterov's Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networks
–Neural Information Processing Systems
We study the convergence rate of first-order methods for rectangular matrix factorization, which is a canonical nonconvex optimization problem.
Neural Information Processing Systems
Feb-11-2026, 11:17:50 GMT
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