Pages that link to "Item:Q2234294"
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The following pages link to Backtracking gradient descent method and some applications in large scale optimisation. II: Algorithms and experiments (Q2234294):
Displaying 6 items.
- (Q5074079) (← links)
- Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients (Q6071885) (← links)
- A fast and simple modification of Newton's method avoiding saddle points (Q6086150) (← links)
- Inertial Newton algorithms avoiding strict saddle points (Q6145046) (← links)
- Stochastic perturbation of subgradient algorithm for nonconvex deep neural networks (Q6161107) (← links)
- On the representation and learning of monotone triangular transport maps (Q6659499) (← links)