Pages that link to "Item:Q2303416"
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The following pages link to Lower error bounds for the stochastic gradient descent optimization algorithm: sharp convergence rates for slowly and fast decaying learning rates (Q2303416):
Displaying 12 items.
- Parameter identification of ARX models based on modified momentum gradient descent algorithm (Q781781) (← links)
- Stochastic gradient descent with Polyak's learning rate (Q1983178) (← links)
- Solving the Kolmogorov PDE by means of deep learning (Q2051092) (← links)
- A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions (Q2145074) (← links)
- A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions (Q2167333) (← links)
- Overcoming the curse of dimensionality in the approximative pricing of financial derivatives with default risks (Q2201474) (← links)
- Strong error analysis for stochastic gradient descent optimization algorithms (Q4964091) (← links)
- Full error analysis for the training of deep neural networks (Q5083408) (← links)
- Stability and optimization error of stochastic gradient descent for pairwise learning (Q5132230) (← links)
- Stochastic gradient descent with noise of machine learning type. I: Discrete time analysis (Q6038848) (← links)
- Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation (Q6107984) (← links)
- Central limit theorems for stochastic gradient descent with averaging for stable manifolds (Q6164916) (← links)
