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
May-29-2025, 04:57:09 GMT
- Country:
- North America > United States
- California (0.14)
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- North America > United States
- Genre:
- Research Report > Experimental Study (0.93)
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