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Gradient Descent only Converges to Minimizers (COLT) View | |
02 - Panageas - Gradient Descent Only Converges to Minimizers (ITCS Conference) View | |
Risk Convergence and Algorithmic Regularization of Discrete-Stepsize (Stochastic) Gradient Descent (Simons Institute) View | |
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent (COLT) View | |
Linear regression - Analytic Minimizer and Gradient Descent (gallavee) View | |
Steepest descent examples (Lewis Mitchell) View | |
03 - Allen-Zhu - Linear Coupling of Gradient and Mirror Descent (ITCS Conference) View | |
Conjugate gradient method: comments and limitations (Lewis Mitchell) View | |
Subgradient method VI: Conclusion (Sebastian Banert) View | |
Spotlight Talk: How to Escape Saddle Points Efficiently (Simons Institute) View |