Pages that link to "Item:Q1740634"
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The following pages link to General multilevel adaptations for stochastic approximation algorithms of Robbins-Monro and Polyak-Ruppert type (Q1740634):
Displaying 14 items.
- Sparse approximation of multilinear problems with applications to kernel-based methods in UQ (Q1749442) (← links)
- General multilevel adaptations for stochastic approximation algorithms. II: CLTs (Q1994904) (← links)
- Solving the Kolmogorov PDE by means of deep learning (Q2051092) (← links)
- Evaluating visual properties via robust HodgeRank (Q2054405) (← links)
- Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization (Q2095692) (← 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)
- Multilevel Monte Carlo Approximation of Functions (Q4611517) (← links)
- Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs (Q5028414) (← links)
- Full error analysis for the training of deep neural networks (Q5083408) (← links)
- Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation (Q6107984) (← links)
- (Non)-penalized multilevel methods for non-uniformly log-concave distributions (Q6126986) (← links)
- Multi-index antithetic stochastic gradient algorithm (Q6171790) (← links)
- A randomized multi-index sequential Monte Carlo method (Q6172156) (← links)
- Unbiased parameter estimation for partially observed diffusions (Q6622708) (← links)
